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Large Language Models

2678 directly classified papers

Papers per year

Papers

ExpertEase: A Multi-Agent Framework for Grade-Specific Document Simplification with Large Language Models EMNLP 2024
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024
Creative and Context-Aware Translation of East Asian Idioms with GPT-4 EMNLP 2024
Can LLMs Reason in the Wild with Programs? EMNLP 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents EMNLP 2024
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes EMNLP 2024
Schema-Driven Information Extraction from Heterogeneous Tables EMNLP 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation EMNLP 2024
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors EMNLP 2024
Exploring Design Choices for Building Language-Specific LLMs EMNLP 2024
Fine-tuning Smaller Language Models for Question Answering over Financial Documents EMNLP 2024
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models EMNLP 2024
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024
Scaling Laws for Fact Memorization of Large Language Models EMNLP 2024
“Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions EMNLP 2024
Resilience of Large Language Models for Noisy Instructions EMNLP 2024
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks EMNLP 2024
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models EMNLP 2024
Compare without Despair: Reliable Preference Evaluation with Generation Separability EMNLP 2024
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks EMNLP 2024
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024
LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation EMNLP 2024
When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models EMNLP 2024