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  • All entries123,252
  • Agents10,349
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  • Concepts7
  • Hardware2,698
  • Industry6,773
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  • Model Releases35,435
  • Research28,731
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123,252Total entries
59Added by human
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13Categories

Knowledge catalogue

Search: “retrieval”

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49+ results
Tutorials

Retrieval Grounding Latent Reasoning for Dense Retrieval

DGX agent

arXiv:2608.14107v1 Announce Type: new Abstract: Reasoning-intensive retrieval requires text representations to capture not only semantic similarity, but also the reasoning needed to determine relevanc

tutorialsarxiv-cs-ai
17 Aug 2026
Safety
Human
DGX agent

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When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA

DGX agent

arXiv:2609.03454v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) can improve the specificity and grounding of large language model responses, but its effect is not uniformly benefi

safetyarxiv-cs-cl
4 Sept 2026
Research

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval

DGX agent

arXiv:2608.06060v1 Announce Type: new Abstract: Unified multimodal retrieval aims to identify candidates that satisfy complex user intent expressed through heterogeneous inputs. Although Large Vision-

researcharxiv-cs-cv
7 Aug 2026
Research

When Retrieval Hurts: Measuring and Explaining Retrieval-Induced Hallucination in Chest X-ray Report Generation

DGX agent

arXiv:2609.31733v1 Announce Type: new Abstract: Retrieval-augmented generation is an attractive way to improve chest X-ray reporting, because reports from similar prior studies supply clinical context

researcharxiv-cs-cv
29 Sept 2026
Model Releases

Superintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval

DGX agent

arXiv:2605.06647v2 Announce Type: replace-cross Abstract: Retrieval-augmented agents are increasingly the interface to large knowledge bases, yet most treat retrieval as a black box: they issue explor

model-releasesarxiv-cs-ai
8 Jun 2026
Research

PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-Real

DGX agent

arXiv:2610.13296v1 Announce Type: cross Abstract: High-precision retrieval over external knowledge bases is essential for LLM agents to operate effectively. However, existing Information Retrieval (IR

researcharxiv-cs-ai
12 Oct 2026
Safety

Assessing the Downstream Utility of Evidence-Aware Retrieval in RAG

DGX agent

arXiv:2608.26379v1 Announce Type: cross Abstract: Retrieval evaluation for retrieval-augmented generation (RAG) is increasingly designed around whether retrieved passages contain evidence that can sup

safetyarxiv-cs-cl
28 Aug 2026
Research

With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots

DGX agent

arXiv:2602.09616v2 Announce Type: replace-cross Abstract: Reliable retrieval-augmented generation (RAG) systems depend fundamentally on the retriever's ability to find relevant information. We show th

researcharxiv-cs-ai
16 Jul 2026
Safety

Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation

DGX agent

arXiv:2601.02993v4 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has become a key paradigm for reducing factual hallucinations in Large Language Models (LLMs), yet little is kn

safetyarxiv-cs-cl
22 Apr 2026
Model Releases

VoiceTrace: A Benchmark and Retrieval Framework for Who-Said-What Speech Retrieval

DGX agent

arXiv:2609.18521v1 Announce Type: cross Abstract: Speech retrieval has become increasingly important as spoken content continues to grow across meetings, lectures, podcasts, and videos. Existing bench

model-releasesarxiv-cs-ai
17 Sept 2026
Research

PAGR: Proof-Carrying Algebraic-Geometric Retrieval: A Quiver-, Provenance-, and Sheaf-Theoretic Framework for Grounded LLM Retrieval

DGX agent

arXiv:2609.06127v1 Announce Type: cross Abstract: Retrieval-augmented generation is usually formulated as a statistical information-retrieval problem. Graph-based variants add relational structure, bu

researcharxiv-cs-ai
10 Sept 2026
Model Releases

HyBIRD: Hyperbolic Bridge Retrieval and Diagnosis for Methodology Inspiration Retrieval

DGX agent

arXiv:2606.28336v1 Announce Type: cross Abstract: Methodology Inspiration Retrieval (MIR) asks a system to retrieve prior papers whose methods can inspire a new research proposal. Unlike general scien

model-releasesarxiv-cs-ai
30 Jun 2026
Model Releases

Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generation

DGX agent

arXiv:2606.29959v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) typically retrieves a fixed number of passages for every query. This is wasteful when the reader already knows th

model-releasesarxiv-cs-cl
30 Jun 2026
Research

Learning to Retrieve: Internalizing Memory Retrieval for Video World Models

DGX agent

arXiv:2610.11444v1 Announce Type: new Abstract: Video world models aim to generate explorable, 3D-consistent scene videos conditioned on camera trajectories. Existing approaches often rely on external

researcharxiv-cs-cv
9 Oct 2026
Model Releases

Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories

DGX agent

arXiv:2609.01556v1 Announce Type: cross Abstract: We evaluate embedding retrieval where surface form and meaning are pulled apart on purpose: retrieving items that share underlying structure but not w

model-releasesarxiv-cs-ai
2 Sept 2026
Safety

Learning from What You Retrieve: Online RL Fine-Tuning for Semantic Retrieval

DGX agent

arXiv:2608.30753v1 Announce Type: cross Abstract: In large-scale e-commerce retrieval, dual-encoder retrievers are op- timized for contrastive similarity, whereas downstream rerankers capture finer-gr

safetyarxiv-cs-ai
1 Sept 2026
Safety

Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation

DGX agent

arXiv:2608.24977v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances large language models by grounding outputs in external knowledge, improving factuality and reducing hall

safetyarxiv-cs-cl
27 Aug 2026
Applications

From Association to Causation: Improving Retrieval Precision of Retrieval-Augmented Generation via Causal Relations and an Attention Mechanism

DGX agent

arXiv:2608.21702v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) grounds LLM generation on retrieved documents, but the standard terminal retrieval stage--dense-vector similarity,

applicationsarxiv-cs-ai
25 Aug 2026
Model Releases

Generative Universal Multimodal Retrieval with Dual-role Identifiers

DGX agent

arXiv:2608.12987v1 Announce Type: cross Abstract: Generative information retrieval (GIR) has emerged as a compelling alternative to the conventional index-retrieve-then-rank retrieval pipeline by trai

model-releasesarxiv-cs-ai
14 Aug 2026
Research

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models?

DGX agent

arXiv:2608.07006v1 Announce Type: new Abstract: Visual retrieval-augmented generation (RAG) commonly expands the retrieved evidence set to improve answer-page coverage, implicitly assuming that all av

researcharxiv-cs-cl
10 Aug 2026
Model Releases

Spectral Retrieval: Multi-Scale Sinc Convolution over Token Embeddings for Localized Retrieval in LLM Multi-Agent Systems

DGX agent

arXiv:2605.24764v1 Announce Type: cross Abstract: [Abridged] - Spectral Retrieval is a plug-in re-ranking stage that interpolates between per-token MaxSim and mean-pool retrieval through a multi-scale

model-releasesarxiv-cs-ai
26 May 2026
Research

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method

DGX agent

arXiv:2605.18766v1 Announce Type: cross Abstract: Retrieving relevant tables from extensive databases for a given natural language query is essential for accurately answering questions in tasks such a

researcharxiv-cs-ai
20 May 2026
Agents

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval

DGX agent

arXiv:2604.20452v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) expands the knowledge boundary of large language models (LLMs) at inference by retrieving external documents as c

agentsarxiv-cs-cl
23 Apr 2026
Model Releases

To Memorize or to Retrieve: Scaling the Interaction Between Pretraining and Retrieval

DGX agent

arXiv:2604.00715v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) improves language model (LM) performance by providing relevant context at test time for knowledge-intensi

model-releasesarxiv-cs-ai
11 Aug 2026
Local Ai

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy

DGX agent

arXiv:2607.23006v1 Announce Type: cross Abstract: Scientific question answering requires a retrieval system to solve two distinct problems: identifying which papers are relevant and locating the suppo

local-aiarxiv-cs-ai
28 Jul 2026
Tutorials

// In-context Retrieval at Million-token Scale // Great study providing better understanding of retrieval at million-token scale. They run t…

DGX agent

// In-context Retrieval at Million-token Scale // Great study providing better understanding of retrieval at million-token scale. They run the first systematic study of in-context retrieval at the sca

tutorialsdair-ai--x
6 Jul 2026
Safety

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation

DGX agent

arXiv:2602.07739v2 Announce Type: replace-cross Abstract: Embedding geometry plays a fundamental role in retrieval quality, yet dense retrievers for retrieval-augmented generation (RAG) remain largely

safetyarxiv-cs-ai
6 Jun 2026
Model Releases

DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval

DGX agent

arXiv:2605.31377v1 Announce Type: cross Abstract: Agentic Retrieval-Augmented Generation improves retrieval by integrating planning, tool use, and iterative reasoning, but existing agentic RAG methods

model-releasesarxiv-cs-ai
1 Jun 2026
Model Releases

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models

DGX agent

arXiv:2604.26649v1 Announce Type: cross Abstract: Large reasoning models such as DeepSeek-R1 and OpenAI o1 generate extended chains of thought spanning thousands of tokens, yet their integration with

model-releasesarxiv-cs-ai
30 Apr 2026
Model Releases

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering

DGX agent

arXiv:2604.07274v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated strong capabilities in medical question answering; however, purely parametric models often suffer from

model-releasesarxiv-cs-ai
10 Apr 2026
Research

Autoregressive Retriever: Improving Query Understanding from Item Feedback for Universal Multimodal Retrieval

DGX agent

arXiv:2610.11666v1 Announce Type: cross Abstract: Universal multimodal retrieval typically encodes a query once and ranks independently indexed items by embedding similarity. This design supports effi

researcharxiv-cs-cv
9 Oct 2026
Research

PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generation

DGX agent

arXiv:2608.29753v1 Announce Type: new Abstract: Multi-hop question answering in retrieval-augmented gener?ation (RAG) often benefits from retrieving beyond the few candidates that will finally be read

researcharxiv-cs-ai
1 Sept 2026
Safety

High-Dimensional Concentration and Retrieval Instability in Embedding Spaces: Implications for Retrieval-Augmented Generation

DGX agent

arXiv:2606.28330v1 Announce Type: cross Abstract: Embedding-based retrieval systems rely on the assumption that geometric proximity in highdimensional representation spaces reflects semantic relevance

safetyarxiv-cs-ai
30 Jun 2026
Tutorials

Checking Fact with Better Retrieval: Dynamic Contrastive Learning for Evidence Retrieval

DGX agent

arXiv:2605.27449v1 Announce Type: cross Abstract: In the field of multimodal fact checking, the accuracy of retrieving evidence from different modalities has a significant impact on the downstream cla

tutorialsarxiv-cs-ai
28 May 2026
Model Releases

Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study

DGX agent

arXiv:2605.02520v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) offers a well-established path to grounding large language model (LLM) outputs in external knowledge, yet the quest

model-releasesarxiv-cs-cl
5 May 2026
Model Releases

StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems

DGX agent

arXiv:2604.22757v1 Announce Type: cross Abstract: We introduce StratRAG, an open-source retrieval evaluation dataset for benchmarking Retrieval-Augmented Generation (RAG) systems on multi-hop reasonin

model-releasesarxiv-cs-ai
28 Apr 2026
Model Releases

When Tool-Backed Skill Retrieval Fails: Source-Style Collapse in Executable Capability Retrieval

DGX agent

arXiv:2608.16502v1 Announce Type: new Abstract: Large-scale agents increasingly rely on retrieval to access external capabilities. We study this retrieval gate in structured tools and APIs, a measurab

model-releasesarxiv-cs-lg
18 Aug 2026
Research

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering

DGX agent

arXiv:2608.01147v1 Announce Type: cross Abstract: Knowledge-Based Visual Question Answering (KB-VQA) requires retrieving relevant entity knowledge from external sources to answer visually grounded que

researcharxiv-cs-cl
4 Aug 2026
Model Releases

Do Current Retrievers Cover All the Evidence? A Controlled Study of Conjunctive Cross-Page Retrieval

DGX agent

arXiv:2607.24165v1 Announce Type: cross Abstract: Finding a long document relevant to a multi-part request is not the same as establishing that it contains every requested piece of evidence. We study

model-releasesarxiv-cs-cl
28 Jul 2026
Research

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption

DGX agent

arXiv:2607.00012v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by incorporating external knowledge, effectively mitigating their inherent

researcharxiv-cs-ai
2 Jul 2026
Agents

Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki

DGX agent

arXiv:2605.25480v1 Announce Type: new Abstract: LLM agents require retrieval to behave less like one-shot context fetching and more like reasoning: searching, reading, traversing, and deciding when ev

agentsarxiv-cs-cl
26 May 2026
Model Releases

Tool Retrieval Bridge: Aligning Vague Instructions with Retriever Preferences via Bridge Model

DGX agent

arXiv:2604.07816v1 Announce Type: new Abstract: Tool learning has emerged as a promising paradigm for large language models (LLMs) to address real-world challenges. Due to the extensive and irregularl

model-releasesarxiv-cs-cl
10 Apr 2026
Model Releases

From Transformation to Target State: Rethinking Query Representation for Zero-Shot Composed Image Retrieval

DGX agent

arXiv:2610.05993v1 Announce Type: new Abstract: Composed image retrieval (CIR) aims to retrieve a desired target image from a query consisting of a reference image and a modification text. This task e

model-releasesarxiv-cs-cv
6 Oct 2026
Model Releases

Re-ranking and Late Interaction Drive Retrieval Quality: A Controlled Comparison of RAG Strategies for Scientific Question Answering

DGX agent

arXiv:2609.38473v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) is now the standard way to ground Large Language Models (LLMs) in external knowledge, yet the design space of ret

model-releasesarxiv-cs-ai
1 Oct 2026
Research

MARS: What Retrieval Signals Are Hidden in Multimodal Large Language Models for Text-Video Retrieval?

DGX agent

arXiv:2609.02565v1 Announce Type: new Abstract: Text-video retrieval requires representations that can distinguish videos with similar scenes, actions, and temporal patterns. Recent multimodal large l

researcharxiv-cs-cv
3 Sept 2026
Research

ViSAR: Training-Free Adaptive-k Retrieval for Visual Document Question Answering

DGX agent

arXiv:2609.02486v1 Announce Type: cross Abstract: Document Visual Question Answering (DocVQA) often leverages Retrieval-Augmented Generation (RAG), where late-interaction encoders are commonly used to

researcharxiv-cs-ai
3 Sept 2026
Model Releases

VisDocAgentBench: Benchmarking Agents for Visually Rich Document Retrieval

DGX agent

arXiv:2608.17889v1 Announce Type: cross Abstract: Visually rich documents encode relevance through language, layout, structured visual elements, and corpus context, yet retrieval is typically evaluate

model-releasesarxiv-cs-cv
27 Aug 2026
Model Releases

Predict, Then Retrieve: Cross-Instance Future-State Retrieval from Video Prefixes

DGX agent

arXiv:2608.04426v1 Announce Type: cross Abstract: We introduce Predictive State Retrieval (PSR), a task in which a model observes a short video prefix and a temporal question about an object's future

model-releasesarxiv-cs-cl
6 Aug 2026
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