conftrace_
← Models
Deep Learning › Models ›

Large Language Models

2,733 papers

Papers per year

1
2
1
13
17
26
106
317
934
1276
40

Papers

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024
Llamipa: An Incremental Discourse Parser EMNLP 2024
Improving Referring Ability for Biomedical Language Models EMNLP 2024
LumberChunker: Long-Form Narrative Document Segmentation EMNLP 2024
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection EMNLP 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective EMNLP 2024
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering EMNLP 2024
Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell EMNLP 2024
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024
Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models EMNLP 2024
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
What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models EMNLP 2024
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024