yusuke1997/dblp-id-title huggingface dataset:
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
Negative Focus Detection via Contextual Attention Mechanism
ET: A Workstation for Querying, Editing and Evaluating Annotated Corpora
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer
Social Chemistry 101: Learning to Reason about Social and Moral Norms
Probing Commonsense Explanation in Dialogue Response Generation
Interpretable Multi-dataset Evaluation for Named Entity Recognition
Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs
An Empirical Analysis of Optimization for Max-Margin NLP
Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Langsmith: An Interactive Academic Text Revision System
Analysis of Style-Shifting on Social Media: Using Neural Language Model Conditioned by Social Meanings
Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains
Simplified Graph Learning for Inductive Short Text Classification
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets
CL-QR: Cross-Lingual Enhanced Query Reformulation for Multi-lingual Conversational AI Agents
Temporal Cognitive Tree: A Hierarchical Modeling Approach for Event Temporal Relation Extraction
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
Recall Error Analysis for Coreference Resolution
Improving Cross-lingual Transfer through Subtree-aware Word Reordering
Bayesian Topic Regression for Causal Inference
A Baseline Temporal Tagger for all Languages
Undersensitivity in Neural Reading Comprehension
Methods for Numeracy-Preserving Word Embeddings
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Multilingual Large Language Models Are Not (Yet) Code-Switchers
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
Simulated multiple reference training improves low-resource machine translation
ALCAP: Alignment-Augmented Music Captioner
A Graph-theoretic Model of Lexical Syntactic Acquisition
Centering Similarity Measures to Reduce Hubs
Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs
Word Informativeness and Automatic Pitch Accent Modeling
Mixture of Diverse Size Experts
Contrastive Demonstration Tuning for Pre-trained Language Models
Modeling Nonnative Sentence Processing with L2 Language Models
A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
Interactive Machine Comprehension with Dynamic Knowledge Graphs
Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models
Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models
Language Models Learn POS First
Sentence Simplification with Deep Reinforcement Learning
Learning with Probabilistic Features for Improved Pipeline Models
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
Emotion Distribution Learning from Texts
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries
Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act
Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis
Syntactic SMT Using a Discriminative Text Generation Model
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Location-Aware Visual Question Generation with Lightweight Models
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
A Multi-task Learning Framework for Opinion Triplet Extraction
Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 2000, Hong Kong, October 7-8, 2000
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
Recurrent Positional Embedding for Neural Machine Translation
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Speculation and Negation Scope Detection via Convolutional Neural Networks
Data Annealing for Informal Language Understanding Tasks
Modelling Interaction of Sentence Pair with Coupled-LSTMs
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness
MEEP: Is this Engaging? Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings
Unsupervised Binary Code Translation with Application to Code Clone Detection and Vulnerability Discovery
ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language
Learning to Refine with Fine-Grained Natural Language Feedback
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
Identifying civilians killed by police with distantly supervised entity-event extraction
Generating Datasets with Pretrained Language Models
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
Multilingual AMR Parsing with Noisy Knowledge Distillation
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications
Competence-based Curriculum Learning for Multilingual Machine Translation
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer
Learning to Rank in the Age of Muppets: Effectiveness-Efficiency Tradeoffs in Multi-Stage Ranking
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
Timeline Generation through Evolutionary Trans-Temporal Summarization
An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs
Syntactical Analysis of the Weaknesses of Sentiment Analyzers
Weakly Supervised Subevent Knowledge Acquisition
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
On the Calibration of Large Language Models and Alignment
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions
Function Assistant: A Tool for NL Querying of APIs
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution
LLoCO: Learning Long Contexts Offline
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
Large Language Models Can Self-Correct with Key Condition Verification
IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
Learning Lexicon Models from Search Logs for Query Expansion
Benchmarking Meaning Representations in Neural Semantic Parsing
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching
On the Transferability of Adversarial Attacks against Neural Text Classifier
Efficient One-Pass End-to-End Entity Linking for Questions
Evaluating Automatic Metrics with Incremental Machine Translation Systems
TeaForN: Teacher-Forcing with N-grams
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
DANLI: Deliberative Agent for Following Natural Language Instructions
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks
FREDSum: A Dialogue Summarization Corpus for French Political Debates
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
Siamese Network-Based Supervised Topic Modeling
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling
Adapting Pretrained Text-to-Text Models for Long Text Sequences
CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation
Evaluation of Word Vector Representations by Subspace Alignment
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation
Translation Rules with Right-Hand Side Lattices
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education
Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering
Evaluating and Improving Factuality in Multimodal Abstractive Summarization
Neural Cross-Lingual Event Detection with Minimal Parallel Resources
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs
A Zero-Shot Language Agent for Computer Control with Structured Reflection
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature
Information Retrieval Oriented Word Segmentation based on Character Association Strength Ranking
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
Knowledge Graph Embedding with Hierarchical Relation Structure
Towards Decoding as Continuous Optimisation in Neural Machine Translation
Inducing a Discriminative Parser to Optimize Machine Translation Reordering
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
Large Language Models are In-context Teachers for Knowledge Reasoning
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach
Language-based Construction of Explorable News Graphs for Journalists
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification
Inference Strategies for Machine Translation with Conditional Masking
Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Language and Translation Model Adaptation using Comparable Corpora
Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
All Fingers are not Equal: Intensity of References in Scientific Articles
Query-as-context Pre-training for Dense Passage Retrieval
Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999, College Park, MD, USA, June 21-22, 1999
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
Confidence-based Rewriting of Machine Translation Output
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
Combining Distant and Partial Supervision for Relation Extraction
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
BLEU is Not Suitable for the Evaluation of Text Simplification
Joint Lemmatization and Morphological Tagging with Lemming
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
Measuring Context-Word Biases in Lexical Semantic Datasets
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks
Towards General Error Diagnosis via Behavioral Testing in Machine Translation
Unsupervised Text Recap Extraction for TV Series
Learning End-to-End Goal-Oriented Dialog with Multiple Answers
Coarse-to-Fine Pre-training for Named Entity Recognition
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection
Continual Learning in Task-Oriented Dialogue Systems
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
Learning the Relative Usefulness of Questions in Community QA
Argumentation-Driven Evidence Association in Criminal Cases
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
WebSRC: A Dataset for Web-Based Structural Reading Comprehension
Alignment-free Cross-lingual Semantic Role Labeling
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Neural Attention-Aware Hierarchical Topic Model
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
A Phrase-Based HMM Approach to Document/Abstract Alignment
Learning to Retrieve Iteratively for In-Context Learning
Exploring Contextualized Neural Language Models for Temporal Dependency Parsing
Fine-tuning Smaller Language Models for Question Answering over Financial Documents
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events
Trained Named Entity Recognition using Distributional Clusters
Can Textual Unlearning Solve Cross-Modality Safety Alignment?
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
Mentor-KD: Making Small Language Models Better Multi-step Reasoners
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models
Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation
Understanding Jargon: Combining Extraction and Generation for Definition Modeling
Annotating Temporal Dependency Graphs via Crowdsourcing
Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative Mining
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
One-Shot Relational Learning for Knowledge Graphs
Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning
Dual-Space Knowledge Distillation for Large Language Models
Automatic Idiom Identification in Wiktionary
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling
Be Helpful but Don't Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support
Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in Rust
How to Train BERT with an Academic Budget
Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Cross-lingual Sentence Embedding using Multi-Task Learning
Improving Multimodal fusion via Mutual Dependency Maximisation
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding
In-context Learning for Few-shot Multimodal Named Entity Recognition
Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets
Combining Hand-crafted Rules and Unsupervised Learning in Constraint-based Morphological Disambiguation
Introducing DRAIL - a Step Towards Declarative Deep Relational Learning
Enhancing Chinese Word Segmentation Using Unlabeled Data
Learning to Explain Selectively: A Case Study on Question Answering
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions
Language Models Are Poor Learners of Directional Inference
A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection
Coarse-to-Fine Query Focused Multi-Document Summarization
Language Models Understand Us, Poorly
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
Bilingual Parsing with Factored Estimation: Using English to Parse Korean
Analytical Methods for Interpretable Ultradense Word Embeddings
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Towards Making the Most of ChatGPT for Machine Translation
Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference
Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation
Value-aware Approximate Attention
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
Contrastive Document Representation Learning with Graph Attention Networks
Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?
An End-to-End Generative Architecture for Paraphrase Generation
PhoBERT: Pre-trained language models for Vietnamese
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
Cross-modality Information Check for Detecting Jailbreaking in Multimodal Large Language Models
Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Revisiting Selectional Preferences for Coreference Resolution
CASSI: Contextual and Semantic Structure-based Interpolation Augmentation for Low-Resource NER
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models
Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos
Make Large Language Model a Better Ranker
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
Distributional Properties of Subword Regularization
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents
Prompts have evil twins
Can Brain Signals Reveal Inner Alignment with Human Languages?
Does Vision-and-Language Pretraining Improve Lexical Grounding?
Grounded Models of Semantic Representation
GuardBench: A Large-Scale Benchmark for Guardrail Models
Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks
Harnessing Black-Box Control to Boost Commonsense in LM's Generation
Sentence Compression for Arbitrary Languages via Multilingual Pivoting
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
Automatic Prediction of Parser Accuracy
Leveraging Locality in Abstractive Text Summarization
Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation
A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC
DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation
An Interface for Annotating Science Questions
Direct Segmentation Models for Streaming Speech Translation
Mitigating Covertly Unsafe Text within Natural Language Systems
Interventional Training for Out-Of-Distribution Natural Language Understanding
Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
Patentformer: A Novel Method to Automate the Generation of Patent Applications
Part-of-Speech Tagging for English-Spanish Code-Switched Text
On the Benefits of Learning to Route in Mixture-of-Experts Models
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs
DSI++: Updating Transformer Memory with New Documents
Probing Across Time: What Does RoBERTa Know and When?
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Focus! Relevant and Sufficient Context Selection for News Image Captioning
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction