PaperFlow proposes a Profiling-Recommending-Adapting framework for longitudinal scientific paper recommendation and evaluates it on a new user-day benchmark with 24 simulated users, outperforming five baselines in ranking, behavioral alignment, and blind human evaluation.
SurveyAgent: A Conversational System for Personalized and Efficient Research Survey.arXiv preprint arXiv:2404.06364, 2024
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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PatchBoard introduces schema-grounded JSON Patch state mutations with an Architect agent and validation kernel, reporting 84.6% success and lower token use on 630 ALFWorld episodes versus LangGraph and Flock baselines.
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PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration
PatchBoard introduces schema-grounded JSON Patch state mutations with an Architect agent and validation kernel, reporting 84.6% success and lower token use on 630 ALFWorld episodes versus LangGraph and Flock baselines.