conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Large Language Models

6,405 papers

Papers per year

Papers

The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning EMNLP 2025
Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework EMNLP 2025
A Sequential Multi-Stage Approach for Code Vulnerability Detection via Confidence- and Collaboration-based Decision Making EMNLP 2025
Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity EMNLP 2025
Improving Context Fidelity via Native Retrieval-Augmented Reasoning EMNLP 2025
Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance EMNLP 2025
Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025
“I’ve Decided to Leak”: Probing Internals Behind Prompt Leakage Intents EMNLP 2025
Nullspace Disentanglement for Red Teaming Language Models EMNLP 2025
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving EMNLP 2025
Semantic Inversion, Identical Replies: Revisiting Negation Blindness in Large Language Models EMNLP 2025
AMACE: Automatic Multi-Agent Chart Evolution for Iteratively Tailored Chart Generation EMNLP 2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety EMNLP 2025
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025
Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support EMNLP 2025
s3: You Don’t Need That Much Data to Train a Search Agent via RL EMNLP 2025
FuseChat: Knowledge Fusion of Chat Models EMNLP 2025
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon EMNLP 2025
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs EMNLP 2025
Learning to Ask: When LLM Agents Meet Unclear Instruction EMNLP 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models EMNLP 2025
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs EMNLP 2025