conftrace_

Resources & Methods

16,196 papers (36 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Large Language Models (9,341) Multilingual NLP (4,318) Text Representation (2,156) Lexical Semantics (710) Knowledge Editing (465) Transfer Learning (442) Prompt Engineering (128) Multimodal NLP (117) Pretraining (101)

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Papers (including subtopics)

MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation NAACL 2025 MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems NAACL 2025 MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval ACL 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 MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation COLING 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 Language Confusion through Inference-time Intervention COLING 2025 Mitigating Negative Interference in Multilingual Knowledge Editing through Null-Space Constraints ACL 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