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Large Language Models

6405 directly classified papers

Papers per year

Papers

RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning EMNLP 2025
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences EMNLP 2025
CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis EMNLP 2025
A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025
REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction EMNLP 2025
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025
Stress-Testing the Reasoning Competence of Language Models With Formal Proofs EMNLP 2025
FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs EMNLP 2025
Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties EMNLP 2025
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models EMNLP 2025
InfAL: Inference Time Adversarial Learning for Improving Research Ideation EMNLP 2025
Speculative Decoding for Multi-Sample Inference EMNLP 2025
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search EMNLP 2025
What if Othello-Playing Language Models Could See? EMNLP 2025
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams EMNLP 2025
ForestCast: Open-Ended Event Forecasting with Semantic News Forest EMNLP 2025
Idola Tribus of AI: Large Language Models tend to perceive order where none exists EMNLP 2025
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions EMNLP 2025
Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation EMNLP 2025
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning EMNLP 2025
Can LLMs Truly Plan? A Comprehensive Evaluation of Planning Capabilities EMNLP 2025
Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models EMNLP 2025
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning EMNLP 2025
SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone EMNLP 2025