A survey that categorizes RIR benchmarks by domain and modality, proposes a taxonomy for integrating reasoning into retrieval pipelines, and outlines key challenges.
arXiv preprint arXiv:2506.10408 , year=
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UNVERDICTED 4representative citing papers
The paper maps agent memory research via three forms (token-level, parametric, latent), three functions (factual, experiential, working), and dynamics of formation/evolution/retrieval, plus benchmarks and future directions.
TransResAI integrates an LLM with geospatial analysis, code generation, and simulation modules to enable natural-language flood-resilience assessments, cutting expert task times by 80-88% in a user study while preserving high accuracy.
A deep research agent incorporates progressive confidence estimation and calibration to produce trustworthy reports with transparent confidence scores on claims.
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A Survey of Reasoning-Intensive Retrieval: Progress and Challenges
A survey that categorizes RIR benchmarks by domain and modality, proposes a taxonomy for integrating reasoning into retrieval pipelines, and outlines key challenges.
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Memory in the Age of AI Agents
The paper maps agent memory research via three forms (token-level, parametric, latent), three functions (factual, experiential, working), and dynamics of formation/evolution/retrieval, plus benchmarks and future directions.
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TransResAI: A Compound AI System for Coastal Transportation Resilience
TransResAI integrates an LLM with geospatial analysis, code generation, and simulation modules to enable natural-language flood-resilience assessments, cutting expert task times by 80-88% in a user study while preserving high accuracy.
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Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration
A deep research agent incorporates progressive confidence estimation and calibration to produce trustworthy reports with transparent confidence scores on claims.