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Large Language Models

6,405 papers

Papers per year

Papers

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025
From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models EMNLP 2025
Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models EMNLP 2025
AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity EMNLP 2025
M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models EMNLP 2025
R-TOFU: Unlearning in Large Reasoning Models EMNLP 2025
Spontaneous Giving and Calculated Greed in Language Models EMNLP 2025
Judge and Improve: Towards a Better Reasoning of Knowledge Graphs with Large Language Models EMNLP 2025
TombRaider: Entering the Vault of History to Jailbreak Large Language Models EMNLP 2025
SEPS: A Separability Measure for Robust Unlearning in LLMs EMNLP 2025
Tree-of-Quote Prompting Improves Factuality and Attribution in Multi-Hop and Medical Reasoning EMNLP 2025
UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025
RCScore: Quantifying Response Consistency in Large Language Models EMNLP 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025
Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging EMNLP 2025
Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language EMNLP 2025
Beyond Demonstrations: Dynamic Vector Construction from Latent Representations EMNLP 2025
Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025
LLM-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection EMNLP 2025
Superficial Self-Improved Reasoners Benefit from Model Merging EMNLP 2025
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025
QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation EMNLP 2025
ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations EMNLP 2025
MAKAR: a Multi-Agent framework based Knowledge-Augmented Reasoning for Grounded Multimodal Named Entity Recognition EMNLP 2025