yusuke1997/dblp-id-title huggingface dataset:
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Exploring Chain of Thought Style Prompting for Text-to-SQL
Unsupervised Cross-lingual Transfer of Word Embedding Spaces
Assessing Phrase-Based Translation Models with Oracle Decoding
From RAG to Riches: Retrieval Interlaced with Sequence Generation
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models
What do character-level models learn about morphology? The case of dependency parsing
Entity Projection via Machine Translation for Cross-Lingual NER
Self-Consistency Boosts Calibration for Math Reasoning
Transformers: State-of-the-Art Natural Language Processing
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities
Detection of Product Comparisons - How Far Does an Out-of-the-Box Semantic Role Labeling System Take You?
Decision-Focused Summarization
Investigating Efficiently Extending Transformers for Long Input Summarization
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Generation with Dynamic Vocabulary
Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion
A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification
Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models
FOLIO: Natural Language Reasoning with First-Order Logic
Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
An Empirical Approach to Temporal Reference Resolution
Data-driven Coreference-based Ontology Building
Gromov-Wasserstein Alignment of Word Embedding Spaces
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Collective Cross-Document Relation Extraction Without Labelled Data
Combining Unsupervised and Supervised Alignments for MT: An Empirical Study
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
OpenGraph: Towards Open Graph Foundation Models
Towards Explaining Subjective Ground of Individuals on Social Media
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation
XDoc: Unified Pre-training for Cross-Format Document Understanding
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
Modeling Input Uncertainty in Neural Network Dependency Parsing
Understanding Higher-Order Correlations Among Semantic Components in Embeddings
Collecting Verified COVID-19 Question Answer Pairs
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
Don't be my Doctor! Recognizing Healthcare Advice in Large Language Models
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
An Attribution Method for Siamese Encoders
APoLLo : Unified Adapter and Prompt Learning for Vision Language Models
Memory-enhanced Decoder for Neural Machine Translation
Mutual Information Alleviates Hallucinations in Abstractive Summarization
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization
RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation
YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension
Double Graph Based Reasoning for Document-level Relation Extraction
Characterizing Text Datasets with Psycholinguistic Features
#TagSpace: Semantic Embeddings from Hashtags
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization
Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City
Multi-granularity Textual Adversarial Attack with Behavior Cloning
Hierarchical Pretraining on Multimodal Electronic Health Records
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
Training Language Models with Memory Augmentation
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training
Scene Graph Modification Based on Natural Language Commands
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures
ConRPG: Paraphrase Generation using Contexts as Regularizer
A Model of Zero-Shot Learning of Spoken Language Understanding
Unsupervised Term Extraction for Highly Technical Domains
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Memory-Efficient Fine-Tuning of Transformers via Token Selection
VIRT: Improving Representation-based Text Matching via Virtual Interaction
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming
Improving Neural Story Generation by Targeted Common Sense Grounding
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
R-AT: Regularized Adversarial Training for Natural Language Understanding
Recognizing Biographical Sections in Wikipedia
Exploring the Boundaries of Low-Resource BERT Distillation
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition
TabPert : An Effective Platform for Tabular Perturbation
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning
Semantic Parsing with Semi-Supervised Sequential Autoencoders
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
A LLM-based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
Phrase-Based & Neural Unsupervised Machine Translation
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Uncertainty-aware generative models for inferring document class prevalence
Talking to the crowd: What do people react to in online discussions?
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
N-gram-based Tense Models for Statistical Machine Translation
ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19
Contextual Text Style Transfer
Rule-Based Information Extraction is Dead! Long Live Rule-Based Information Extraction Systems!
AEDA: An Easier Data Augmentation Technique for Text Classification
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
Exploiting Reducibility in Unsupervised Dependency Parsing
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
CaRB: A Crowdsourced Benchmark for Open IE
A Machine-Learning Approach to Introspection in a Question Answering System
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models
EvEntS ReaLM: Event Reasoning of Entity States via Language Models
CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization
What's with the Attitude? Identifying Sentences with Attitude in Online Discussions
M3: A Multi-View Fusion and Multi-Decoding Network for Multi-Document Reading Comprehension
Variational Hierarchical User-based Conversation Model
LongEmbed: Extending Embedding Models for Long Context Retrieval
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
Multiplex Word Embeddings for Selectional Preference Acquisition
End to End Binarized Neural Networks for Text Classification
FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning
LLMs - the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases
Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing
AMR Parsing with Causal Hierarchical Attention and Pointers
Counter Turing Test (CT²): Investigating AI-Generated Text Detection for Hindi - Ranking LLMs based on Hindi AI Detectability Index (ADI_hi)
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation
DIVE: Towards Descriptive and Diverse Visual Commonsense Generation
Cross-Modal Conceptualization in Bottleneck Models
OpenKE: An Open Toolkit for Knowledge Embedding
Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
Causal Explanation Analysis on Social Media
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference
SPARQLing Database Queries from Intermediate Question Decompositions
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities
ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning
LEGAL-BERT: "Preparing the Muppets for Court'"
On the weak link between importance and prunability of attention heads
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
Automatic Inference of the Temporal Location of Situations in Chinese Text
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings
Weight Perturbation as Defense against Adversarial Word Substitutions
A Mention-Ranking Model for Abstract Anaphora Resolution
MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation
Shift-Reduce Word Reordering for Machine Translation
Learning Hebrew Roots: Machine Learning with Linguistic Constraints
Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
Argument Relation Classification through Discourse Markers and Adversarial Training
Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation
Estimation of Discourse Segmentation Labels from Crowd Data
Detecting Text Similarity over Short Passages: Exploring Linguistic Feature Combinations via Machine Learning
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation
A model of rapid phonotactic generalization
Towards Effective Automatic Debt Collection with Persona Awareness
Quantitative argument summarization and beyond: Cross-domain key point analysis
Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries
Seeded self-play for language learning
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
Referring Expression Generation Using Entity Profiles
A Web Scale Entity Extraction System
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources
Crystal: Introspective Reasoners Reinforced with Self-Feedback
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering
Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Learning Semantic Structure through First-Order-Logic Translation
Towards Low-Resource Harmful Meme Detection with LMM Agents
DiffusionRet: Diffusion-Enhanced Generative Retriever using Constrained Decoding
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?
Conversation Disentanglement with Bi-Level Contrastive Learning
Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
Tuna: Instruction Tuning using Feedback from Large Language Models
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion
Learning to Score System Summaries for Better Content Selection Evaluation
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering
How to disagree well: Investigating the dispute tactics used on Wikipedia
RoR: Read-over-Read for Long Document Machine Reading Comprehension
Structured Attention for Unsupervised Dialogue Structure Induction
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
Fake news stance detection using stacked ensemble of classifiers
Unveiling the Power of Argument Arrangement in Online Persuasive Discussions
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference
Sequential Cross-Document Coreference Resolution
Unsupervised Semantic Parsing
Contextual Modulation for Relation-Level Metaphor Identification
BERT for Monolingual and Cross-Lingual Reverse Dictionary
Graph Alignment for Semi-Supervised Semantic Role Labeling
Extend, don't rebuild: Phrasing conditional graph modification as autoregressive sequence labelling
Syntax-based Rewriting for Simultaneous Machine Translation
Submodularity for Data Selection in Machine Translation
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
Entity Linking via Joint Encoding of Types, Descriptions, and Context
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales
A Unified Framework for Pun Generation with Humor Principles
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
Can Language Models Laugh at YouTube Short-form Videos?
An Improved Tag Dictionary for Faster Part-of-Speech Tagging
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation
Monolingual Adapters for Zero-Shot Neural Machine Translation
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts
How Far Can We Extract Diverse Perspectives from Large Language Models?
Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
fairseq S\^2: A Scalable and Integrable Speech Synthesis Toolkit
ASTRA: Automatic Schema Matching using Machine Translation
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
Rather a Nurse than a Physician - Contrastive Explanations under Investigation
A Dataset for Tracking Entities in Open Domain Procedural Text
ReasonBERT: Pre-trained to Reason with Distant Supervision
Multi-level Contrastive Learning for Script-based Character Understanding
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags
Abstractive Open Information Extraction
Graphical Models over Multiple Strings
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia
Social Bias Probing: Fairness Benchmarking for Language Models
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned?
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
Transition-Based Dependency Parsing with Heuristic Backtracking
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs
Towards a Unified Multi-Dimensional Evaluator for Text Generation
IGT2P: From Interlinear Glossed Texts to Paradigms
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering
Ranking and Sampling in Open-Domain Question Answering
Language Model Pre-Training with Sparse Latent Typing
Optimizing Semantic Coherence in Topic Models
An Empirical Study on Finding Spans
Exploiting Parse Structures for Native Language Identification
Guided Dialogue Policy Learning without Adversarial Learning in the Loop
Extreme Extraction - Machine Reading in a Week
Patterns of Argumentation Strategies across Topics
Predictive Chemistry Augmented with Text Retrieval
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models
Stance Detection in Fake News A Combined Feature Representation
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation
KOLD: Korean Offensive Language Dataset
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations
Solving Geometry Problems: Combining Text and Diagram Interpretation
Sequence-Level Mixed Sample Data Augmentation
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training
Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
Bridging Local Details and Global Context in Text-Attributed Graphs
Table-To-Text generation and pre-training with TabT5
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables
Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries
JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization
An Empirical Study of Instruction-tuning Large Language Models in Chinese
Generalization in Generation: A closer look at Exposure Bias
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Enhancing AMR-to-Text Generation with Dual Graph Representations
Foreebank: Syntactic Analysis of Customer Support Forums
Linguistically-Informed Self-Attention for Semantic Role Labeling
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments
Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models
Self-Training using Rules of Grammar for Few-Shot NLU
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation
Hypotheses Selection Criteria in a Reranking Framework for Spoken Language Understanding
TernaryBERT: Distillation-aware Ultra-low Bit BERT
The Entropy Rate Principle as a Predictor of Processing Effort: An Evaluation against Eye-tracking Data
Graph-Induced Transformers for Efficient Multi-Hop Question Answering
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation
Mutual-Learning Improves End-to-End Speech Translation
Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers
Event Extraction by Answering (Almost) Natural Questions
Name Phylogeny: A Generative Model of String Variation
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?
CapOnImage: Context-driven Dense-Captioning on Image
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding
Visual Cues and Error Correction for Translation Robustness
LLMs Are Prone to Fallacies in Causal Inference