conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Natural Language Processing

2,158 papers

Papers per year

1
266
256
'15
'20
'25

Papers

Detecting Temporal Ambiguity in Questions EMNLP 2024
DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking EMNLP 2024
Do *they* mean ‘us’? Interpreting Referring Expression variation under Intergroup Bias EMNLP 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024
Can LLM be a Personalized Judge? EMNLP 2024
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis EMNLP 2024
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases EMNLP 2024
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs EMNLP 2024
Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis EMNLP 2024
To Err Is Human, but Llamas Can Learn It Too EMNLP 2024
Enhancing Discourse Dependency Parsing with Sentence Dependency Parsing: A Unified Generative Method Based on Code Representation EMNLP 2024
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI EMNLP 2024
Reference-based Metrics Disprove Themselves in Question Generation EMNLP 2024
Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information EMNLP 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024
LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification EMNLP 2024
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection EMNLP 2024
Minimal Yet Big Impact: How AI Agent Back-channeling Enhances Conversational Engagement through Conversation Persistence and Context Richness EMNLP 2024
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024
CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models EMNLP 2024
ARTS: Assessing Readability & Text Simplicity EMNLP 2024
AXCEL: Automated eXplainable Consistency Evaluation using LLMs EMNLP 2024
Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition EMNLP 2024
One-to-many testing for code generation from (just) natural language EMNLP 2024
Large Language Models Know What To Say But Not When To Speak EMNLP 2024