ICLR2025 retrieval 相关论文
- STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
STRAP:增强策略学习的机器人子轨迹检索 https://arxiv.org/pdf/2412.15182 - Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
基于上下文视频KV缓存检索的流媒体视频问答 https://arxiv.org/pdf/2503.00540 - Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
足够的上下文:对检索增强生成系统的新视角 https://arxiv.org/pdf/2411.06037 - TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval
TempMe:用于高效文本-视频检索的视频时间性标记合并 https://arxiv.org/pdf/2409.01156 - Test-time Adaptation for Cross-modal Retrieval with Query Shift
测试时适应:带有查询偏移的跨模态检索 https://arxiv.org/abs/2410.15624 - VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
VisRAG:基于视觉的多模态文档检索增强生成 https://arxiv.org/abs/2410.10594 - Universal Multimodal Retrieval with Multimodal LLMs
使用多模态LLMs的通用多模态检索 https://openreview.net/forum?id=i45NQb2iKO - Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
Think-on-Graph 2.0:基于知识引导的检索增强生成的大型语言模型深度推理与忠实性 https://arxiv.org/pdf/2407.10805 - TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
TIGeR:统一文本到图像生成和检索的多模态大型模型 https://openreview.net/pdf?id=mr2icR6dpD - ToolGen: Unified Tool Retrieval and Calling via Generation
ToolGen:通过生成统一工具检索与调用 https://arxiv.org/pdf/2410.03439? - Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction
通过回溯修正训练大型语言模型进行检索增强问答 https://openreview.net/pdf?id=IOg47mg74i - SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks
SRSA:机器人组装任务的技能检索与适应 https://arxiv.org/pdf/2503.04538 - Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
通过稀疏上下文选择加速检索增强生成的推理 https://arxiv.org/pdf/2405.16178 - Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning
并非所有的头都重要:一种集成检索与推理的头级KV缓存压缩方法 https://arxiv.org/pdf/2410.19258 - NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
NUDGE:用于检索的轻量级非参数嵌入微调 https://arxiv.org/abs/2409.02343 - On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
关于信息检索游戏中无悔动态收敛与比例排名函数 https://arxiv.org/pdf/2405.11517 - Provence: Efficient and Robust Context Pruning for Retrieval-Augmented Generation
Provence:检索增强生成的高效且强健的上下文修剪 https://arxiv.org/pdf/2501.16214 - RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
RAG-DDR:使用可微分数据奖励优化检索增强生成 https://arxiv.org/pdf/2410.13509 - RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
RAG-SR:用于神经符号回归的检索增强生成 https://openreview.net/pdf?id=NdHka08uWn - RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
RAPID:差分隐私扩散模型的检索增强训练 https://arxiv.org/pdf/2502.12794 - RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
RA-TTA:视觉-语言模型的检索增强测试时适应 https://openreview.net/pdf?id=V3zobHnS61 - RazorAttention: Efficient KV Cache Compression Through Retrieval Heads
RazorAttention:通过检索头高效压缩KV缓存 https://arxiv.org/pdf/2407.15891 - Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
基于知识图谱社区检索的推理增强型医疗预测 https://arxiv.org/pdf/2410.04585 - ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
ReDeEP:通过机制可解释性检测检索增强生成中的幻觉 https://arxiv.org/pdf/2410.11414 - ReNovo: Retrieval-Based De Novo Mass Spectrometry Peptide Sequencing
ReNovo:基于检索的去新质谱肽序列测定 https://openreview.net/pdf?id=uQnvYP7yX9 - REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments
REGENT:一款可以在新环境中上下文行动的检索增强型通用智能体 https://arxiv.org/pdf/2412.04759 - Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
重新思考和改进自动格式化:面向一个忠实的度量标准和基于依赖检索的方法 - Retri3D: 3D Neural Graphics Representation Retrieval
Retri3D:3D神经图形表示检索 - Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
用于结构信息化抗体设计与优化的检索增强扩散模型 - Retrieval Head Mechanistically Explains Long-Context Factuality
检索头机制性地解释了长上下文的真实性 - RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval
RNNs还不是Transformers:上下文检索的关键瓶颈 - Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
简单有效:图谱和大型语言模型在基于知识图谱的检索增强生成中的作用 - Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
通过二进制标记袋索引的半参数检索 - Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
推测性RAG:通过草拟增强检索增强生成 https://arxiv.org/abs/2407.08223 - SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
SePer:通过语义困惑度降低来度量检索效用 - SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
SeCom:关于个性化对话代理的记忆构建与检索 - A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
检索增强生成中标记级别协调的理论 - Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation
Auto-GDA:用于检索增强生成中高效基础验证的自动领域适应 - Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
超越内容相关性:在检索模型中评估指令遵循 - Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach
缩小文本视频检索中的信息不对称:一种数据中心化方法 - BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
BRIGHT:一种现实且具有挑战性的推理密集型检索基准 - ColPali: Efficient Document Retrieval with Vision Language Models
ColPali:使用视觉语言模型进行高效文档检索 - Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
使用动态VQA数据集和自适应规划代理对多模态检索增强生成进行基准测试 https://arxiv.org/abs/2411.02937 - DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
DRoC:通过分解约束的检索提升大型语言模型处理复杂车辆路径规划 - DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
DuoAttention:通过检索和流式头进行高效长上下文LLM推理 - EXPLOITING DISTRIBUTION CONSTRAINTS FOR SCALABLE AND EFFICIENT IMAGE RETRIEVAL
利用分布约束实现可扩展和高效的图像检索 https://arxiv.org/abs/2410.07022 - Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
跟随我的指令,泄露信息:从检索增强生成系统中可扩展的数据提取 - From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
从人工针到真正的干草堆:通过在合成数据上微调提升LLM中的检索能力 - Generalized Video Moment Retrieval
广义视频时刻检索 - Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
通过尝试进行基础化:增强型强化学习的LLMs与检索 - Inference Scaling for Long-Context Retrieval Augmented Generation
长上下文检索增强生成的推理扩展 - InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
InstructRAG:通过自我合成的推理指导检索增强生成 - LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
LaMP:用于动作生成、检索和字幕的语言-运动预训练 https://arxiv.org/abs/2410.07093 - Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval
通过文本标记解缠学习细粒度表示在复合视频检索中的应用 - Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models
三思而后行:语言模型中检索的普遍突现机制 - MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
MAI:复合图像检索的多轮聚合迭代模型 - MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
MLLM作为检索器:交互式学习多模态检索用于具身智能体 https://arxiv.org/abs/2410.03450 - MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
MRAG-Bench:基于视觉的检索增强多模态模型评估 https://arxiv.org/abs/2410.08182 - Multi-Field Adaptive Retrieval
多领域自适应检索 https://arxiv.org/abs/2410.20056 - CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
CoRNStack:更好的代码检索和重排序的高质量对比数据