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Large Language Models

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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