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Large Language Models

2678 directly classified papers

Papers per year

Papers

Cascading Large Language Models for Salient Event Graph Generation NAACL 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs NAACL 2025
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference NAACL 2025
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models NAACL 2025
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization NAACL 2025
CodeRAG-Bench: Can Retrieval Augment Code Generation? NAACL 2025
MojoBench: Language Modeling and Benchmarks for Mojo NAACL 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization NAACL 2025
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding NAACL 2025
A Closer Look into Mixture-of-Experts in Large Language Models NAACL 2025
Improving Reward Models with Synthetic Critiques NAACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models NAACL 2025
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis NAACL 2025
Rationale Behind Essay Scores: Enhancing S-LLM’s Multi-Trait Essay Scoring with Rationale Generated by LLMs NAACL 2025
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time NAACL 2025
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025
Keep Guessing? When Considering Inference Scaling, Mind the Baselines NAACL 2025
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models NAACL 2025
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models NAACL 2025
Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference NAACL 2025
DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking NAACL 2025
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models NAACL 2025
NOTA: Multimodal Music Notation Understanding for Visual Large Language Model NAACL 2025
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks AAAI 2025