yusuke1997/dblp-id-title huggingface dataset:
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
Memory-efficient Transformers via Top-k Attention
On the Role of Corpus Ordering in Language Modeling
When Context Leads but Parametric Memory Follows in Large Language Models
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
Accuracy is not enough: Evaluating Personalization in Summarizers
Modeling Empathic Similarity in Personal Narratives
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
Interpretable Word Embedding Contextualization
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding
Voice Query Auto Completion
DictDis: Dictionary Constrained Disambiguation for Improved NMT
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation
MultiCMET: A Novel Chinese Benchmark for Understanding Multimodal Metaphor
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction
Denoising Multi-Source Weak Supervision for Neural Text Classification
Language Models as Agent Models
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification
Idiom Paraphrases: Seventh Heaven vs Cloud Nine
Structured Prediction Models via the Matrix-Tree Theorem
Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering
MedCoT: Medical Chain of Thought via Hierarchical Expert
Weakly Supervised Multilingual Causality Extraction from Wikipedia
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
Adaptor Grammars for Learning Non-Concatenative Morphology
Byte-based Neural Machine Translation
Entity-centered Cross-document Relation Extraction
Contrastive Learning of Sentence Embeddings from Scratch
Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision
Intrinsic Plagiarism Detection using N-gram Classes
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality
A Computational Exploration of Exaggeration
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three
Hierarchical Phrase-Based Translation with Suffix Arrays
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation
Interpreting Answers to Yes-No Questions in User-Generated Content
Mixing Weak Learners in Semantic Parsin
Automated Generation of Accurate & Fluent Medical X-ray Reports
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
DORE: Document Ordered Relation Extraction based on Generative Framework
Summarization Based on Embedding Distributions
AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning
Dict2vec : Learning Word Embeddings using Lexical Dictionaries
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems
Synthesize, if you do not have: Effective Synthetic Dataset Creation Strategies for Self-Supervised Opinion Summarization in E-commerce
Reasoning Like Program Executors
The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
GottBERT: a pure German Language Model
CorrSynth - A Correlated Sampling Method for Diverse Dataset Generation from LLMs
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph
Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Attention-Based Capsule Network with Dynamic Routing for Relation Extraction
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models
Neural Machine Translation with Word Predictions
Discriminative Reranking of Discourse Parses Using Tree Kernels
An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering
Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning
Knowledge Graph Enhanced Large Language Model Editing
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue
Program Translation via Code Distillation
HeLo: Learning-Free Lookahead Decoding for Conversation Infilling
Predicting the Semantic Compositionality of Prefix Verbs
Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI
Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval
An Operation Sequence Model for Explainable Neural Machine Translation
EUSP: An Easy-to-Use Semantic Parsing PlatForm
Long-Short Range Context Neural Networks for Language Modeling
Analyzing Correlated Evolution of Multiple Features Using Latent Representations
Syntactic Re-Alignment Models for Machine Translation
How to Do Things without Words: Modeling Semantic Drift of Emoji
Why do objects have many names? A study on word informativeness in language use and lexical systems
Efficiently Computing Susceptibility to Context in Language Models
Normalizing Mutual Information for Robust Adaptive Training for Translation
Find-2-Find: Multitask Learning for Anaphora Resolution and Object Localization
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Entropy-based Pruning for Phrase-based Machine Translation
Phonetic and Lexical Discovery of Canine Vocalization
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters
PAUQ: Text-to-SQL in Russian
Suri: Multi-constraint Instruction Following in Long-form Text Generation
Sentence ordering with manifold-based classification in multi-document summarization
Faithful Model Evaluation for Model-Based Metrics
Why ADAGRAD Fails for Online Topic Modeling
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
Related Work and Citation Text Generation: A Survey
Interpretation of Natural Language Rules in Conversational Machine Reading
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities
Few-shot Learning with Multilingual Generative Language Models
Modeling News Interactions and Influence for Financial Market Prediction
INSPIRED: Toward Sociable Recommendation Dialog Systems
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models
Word Mover's Embedding: From Word2Vec to Document Embedding
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
Sentiment Flow - A General Model of Web Review Argumentation
ToolWriter: Question Specific Tool Synthesis for Tabular Data
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
Efficient Nearest Neighbor Language Models
Statistical Machine Translation with a Factorized Grammar
Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component
Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models
SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science
Knowledge Representation Learning with Contrastive Completion Coding
Opinion Mining in Newspaper Articles by Entropy-Based Word Connections
Charagram: Embedding Words and Sentences via Character n-grams
Mirages. On Anthropomorphism in Dialogue Systems
Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts
Incorporating Temporal and Semantic Information with Eye Gaze for Automatic Word Acquisition in Multimodal Conversational Systems
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems
KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model
Using RBMT Systems to Produce Bilingual Corpus for SMT
CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models
Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French
Exploiting Headword Dependency and Predictive Clustering for Language Modeling
Hateful Word in Context Classification
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
A Real-time Integration Of Concept-based Search and Summarization of Chinese Websites
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding
Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies
Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction
Combining Lexical and Formatting Cues for Named Entity Acquisition from the Web
Efficient and Interpretable Grammatical Error Correction with Mixture of Experts
Semantic Role Labeling via Instance-Based Learning
When BERT Plays the Lottery, All Tickets Are Winning
Explaining the Trump Gap in Social Distancing Using COVID Discourse
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
Probing the Depths of Language Models' Contact-Center Knowledge for Quality Assurance
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
Deep Neural Solver for Math Word Problems
Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems
Can characters reveal your native language? A language-independent approach to native language identification
The challenges of temporal alignment on Twitter during crises
High Performance Natural Language Processing
Structural Correspondence Learning for Dependency Parsing
Convex Aggregation for Opinion Summarization
Role of Context in Unsupervised Sentence Representation Learning: the Case of Dialog Act Modeling
SD-QA: Spoken Dialectal Question Answering for the Real World
Relation Acquisition using Word Classes and Partial Patterns
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference
Calibrating Student Models for Emotion-related Tasks
MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain
BioFEG: Generate Latent Features for Biomedical Entity Linking
Coaxing Confidences from an Old Freind: Probabilistic Classifications from Transformation Rule Lists
Empirical Study of Zero-Shot NER with ChatGPT
Proceedings of the Workshop on Speech-Centric Natural Language Processing, SCNLP@EMNLP 2017, Copenhagen, Denmark, September 7, 2017
Understanding Neural Abstractive Summarization Models via Uncertainty
A Semantics-based Approach to Disclosure Classification in User-Generated Online Content
AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
On Creating an English-Thai Code-switched Machine Translation in Medical Domain
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks
Listening Comprehension over Argumentative Content
Learning to Differentiate Better from Worse Translations
DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction
Learning with Noisy Labels for Sentence-level Sentiment Classification
TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models
Enhancing Incremental Summarization with Structured Representations
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding
Hierarchical Embeddings for Hypernymy Detection and Directionality
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Automatic Detection of Vague Words and Sentences in Privacy Policies
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues
Unsupervised Template Mining for Semantic Category Understanding
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
Lexicon Acquisition for Dialectal Arabic Using Transductive Learning
Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
Class Label Enhancement via Related Instances
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer
Byte Pair Encoding for Symbolic Music
Transitioning Representations between Languages for Cross-lingual Event Detection via Langevin Dynamics
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics
Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs
Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Explaining Answers with Entailment Trees
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages
Fairness-aware Class Imbalanced Learning
Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval
Learning to Detect Noisy Labels Using Model-Based Features
Don't Add, don't Miss: Effective Content Preserving Generation from Pre-Selected Text Spans
FinQA: A Dataset of Numerical Reasoning over Financial Data
ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding
Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent
Question Directed Graph Attention Network for Numerical Reasoning over Text
RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training
Batch Prompting: Efficient Inference with Large Language Model APIs
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval
Composing Ci with Reinforced Non-autoregressive Text Generation
Automatic Analysis of Substantiation in Scientific Peer Reviews
Low-resource Taxonomy Enrichment with Pretrained Language Models
Factorization of Latent Variables in Distributional Semantic Models
Large-Scale Differentially Private BERT
KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection
A Partition Filter Network for Joint Entity and Relation Extraction
Sanskrit Sandhi Splitting using seq2(seq)2
SciBERT: A Pretrained Language Model for Scientific Text
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
The State of the Art of Large Language Models on Chartered Financial Analyst Exams
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
Coverage Embedding Models for Neural Machine Translation
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Invernet: An Inversion Attack Framework to Infer Fine-Tuning Datasets through Word Embeddings
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
Quantifying Intimacy in Language
Scaling Semantic Parsers with On-the-Fly Ontology Matching
HUMAN: Hierarchical Universal Modular ANnotator
Information Extraction from Legal Wills: How Well Does GPT-4 Do?
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
Biography-Dependent Collaborative Entity Archiving for Slot Filling
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness
TopicBERT for Energy Efficient Document Classification
Context-Dependent Term Relations for Information Retrieval
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Language Models Still Struggle to Zero-shot Reason about Time Series
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue
Improving Text Auto-Completion with Next Phrase Prediction
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots
Adversarial Attack against Cross-lingual Knowledge Graph Alignment
Learning Local Content Shift Detectors from Document-level Information
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
The impact of preprint servers in the formation of novel ideas
A Dataset of General-Purpose Rebuttal
Intervention-Based Alignment of Code Search with Execution Feedback
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Schema-adaptable Knowledge Graph Construction
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog
Towards Pragmatic Production Strategies for Natural Language Generation Tasks
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
Stacked AMR Parsing with Silver Data
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Joint Models for Chinese POS Tagging and Dependency Parsing
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
Exploring Diverse Expressions for Paraphrase Generation
Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain
Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
Word-Based Dialect Identification with Georeferenced Rules
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022
Beyond Candidates : Adaptive Dialogue Agent Utilizing Persona and Knowledge
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
Mixture of Attention Heads: Selecting Attention Heads Per Token
Structuring Latent Spaces for Stylized Response Generation
On A Strictly Convex IBM Model 1
MCC-KD: Multi-CoT Consistent Knowledge Distillation
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism
Reasoning about Pragmatics with Neural Listeners and Speakers
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
Translation between Molecules and Natural Language
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Causal Intervention for Abstractive Related Work Generation
Embedded Named Entity Recognition using Probing Classifiers
Sentence-Incremental Neural Coreference Resolution
ASQA: Factoid Questions Meet Long-Form Answers
Lexicon Effects on Chinese Information Retrieval
Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting
Guiding Abstractive Dialogue Summarization with Content Planning
Multi-Relational Latent Semantic Analysis
GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
Learning Robust Representations of Text
A Topic Model for Word Sense Disambiguation
Building Specialized Bilingual Lexicons Using Large Scale Background Knowledge
Calibrating Factual Knowledge in Pretrained Language Models
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation
Incremental Event Detection via Knowledge Consolidation Networks
Lexical Substitution for the Medical Domain
Word Buffering Models for Improved Speech Repair Parsing
Bootstrapping Semantic Parsers from Conversations
Multivalent Entailment Graphs for Question Answering
Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation
You Are What You Talk About: Inducing Evaluative Topics for Personality Analysis
Improved Word Sense Disambiguation with Enhanced Sense Representations
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization