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Large Language Models

6,405 papers

Papers per year

Papers

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking EMNLP 2025
The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It EMNLP 2025
Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts EMNLP 2025
Do LLMs Encode Frame Semantics? Evidence from Frame Identification EMNLP 2025
StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models EMNLP 2025
It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs EMNLP 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025
Multilingual Pretraining for Pixel Language Models EMNLP 2025
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs EMNLP 2025
Machine-generated text detection prevents language model collapse EMNLP 2025
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat EMNLP 2025
Too Helpful, Too Harmless, Too Honest or Just Right? EMNLP 2025
Measuring and Mitigating Media Outlet Name Bias in Large Language Models EMNLP 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025
Where Confabulation Lives: Latent Feature Discovery in LLMs EMNLP 2025
Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation? EMNLP 2025
GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL EMNLP 2025
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models EMNLP 2025
Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs EMNLP 2025
GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection EMNLP 2025
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents EMNLP 2025
Finetuning LLMs for Human Behavior Prediction in Social Science Experiments EMNLP 2025
Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models EMNLP 2025
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs EMNLP 2025
Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores EMNLP 2025