conftrace_

large language model

14,686 papers

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Also known as

LLM LLMS

Co-occurring keywords · papers mentioning both

in-context learning (789) question answering (737) zero-shot learning (717) benchmark evaluation (705) prompt engineering (705) retrieval-augmented generation (672) text generation (668) multimodal learning (651) text classification (646) few-shot learning (636)

Papers

Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework AAAI 2025 Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025 Mitigating the Discrepancy Between Video and Text Temporal Sequences: A Time-Perception Enhanced Video Grounding method for LLM COLING 2025 MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics NAACL 2025 Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025 MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025 MixMin: Finding Data Mixtures via Convex Minimization ICML 2025 Mixture-of-Agents Enhances Large Language Model Capabilities ICLR 2025 Mixture of Attentions For Speculative Decoding ICLR 2025 Mixture of Experts Made Intrinsically Interpretable ICML 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 Mixture of Small and Large Models for Chinese Spelling Check ACL 2025 Mixtures of In-Context Learners ACL 2025 MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models COLING 2025 MLAlgo-Bench: Can Machines Implement Machine Learning Algorithms? EMNLP 2025 MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation ACL 2025 MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions COLING 2025 MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios ACL 2025 MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models ACL 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning WACV 2025 M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework EMNLP 2025 M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation ACL 2025 MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning ICCV 2025 MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains NAACL 2025