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Large Language Models

2678 directly classified papers

Papers per year

Papers

Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation EMNLP 2024
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences EMNLP 2024
Large Language Models for Data Annotation and Synthesis: A Survey EMNLP 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning EMNLP 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering EMNLP 2024
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation EMNLP 2024
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment EMNLP 2024
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps EMNLP 2024
Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding EMNLP 2024
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning EMNLP 2024
Collaborative Performance Prediction for Large Language Models EMNLP 2024
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions EMNLP 2024
CUTE: Measuring LLMs’ Understanding of Their Tokens EMNLP 2024
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL EMNLP 2024
When Context Leads but Parametric Memory Follows in Large Language Models EMNLP 2024
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering EMNLP 2024