← Models
Deep Learning › Models ›

Large Language Models

2678 directly classified papers

Papers per year

Papers

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation ACL 2025
Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation ACL 2025
Uncertainty-Aware Contrastive Decoding ACL 2025
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models EMNLP 2025
Exploring In-context Example Generation for Machine Translation ACL 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025
EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations ACL 2025
Audit-FT at the Regulations Challenge Task: An Open-Source Large Language Model for Audit COLING 2025
Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool ACL 2025
V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me ACL 2025
FilBench: Can LLMs Understand and Generate Filipino? EMNLP 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025
Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding EMNLP 2025
Recall with Reasoning: Chain-of-Thought Distillation for Mamba’s Long-Context Memory and Extrapolation EMNLP 2025
Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination EMNLP 2025
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator EMNLP 2025
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025
QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025
Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering EMNLP 2025
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs EMNLP 2025
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization EMNLP 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs NAACL 2025