Large Language Models
9,341 papers
Papers per year
1
1
1
15
108
287
352
542
1,133
2,676
3,554
671
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'25
Papers
Mining Complex Patterns of Argumentative Reasoning in Natural Language Dialogue
ACL 2025
MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
NAACL 2025
MIR: Methodology Inspiration Retrieval for Scientific Research Problems
ACL 2025
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning
IJCAI 2025
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
ACL 2025
Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference – a Systematic Literature Review
ACL 2025
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
ACL 2025
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
CVPR 2025
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
ICML 2025
Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding
ACL 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options
ACL 2025
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
AAAI 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics
NAACL 2025
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
ICLR 2025
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
ICLR 2025
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
COLING 2025
Mixture-of-Agents Enhances Large Language Model Capabilities
ICLR 2025
Mixture of Attentions For Speculative Decoding
ICLR 2025
Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning
EMNLP 2025
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment
ACL 2025
Mixture of LoRA Experts for Continual Information Extraction with LLMs
EMNLP 2025
MLAlgo-Bench: Can Machines Implement Machine Learning Algorithms?
EMNLP 2025
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
ACL 2025
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
ACL 2025