2026-08-24

Internal Generation Record

Internal generation metadata: 291 candidate papers.

Published 2026-08-24 Target source 2026-08-22 Actual source 2026-08-20 Candidates 291 Featured 6 Tracked 20 Source date fallback

Generation Record

This page preserves selected papers, candidate scale, and source-date metadata for traceability. The page only changes presentation, not selected papers, ordering, or counts.

Internal generation record. Fetched at 2026-08-23T21:31:31.599251+00:00. Generated at 2026-08-23T21:32:41.096328+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
53make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2608.19953
54make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2608.19942
55make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2608.19890
56test temporal consistency and motion realism in video generationSystems and Deployment2608.19889
58make agents use tools and reusable skills more reliablyAgents and Tool Use2608.19861
61make agents use tools and reusable skills more reliablyTraining and Post-training2608.19778
57improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.19882
59make agents use tools and reusable skills more reliablyAgents and Tool Use2608.19838
60explain internal representations and behavioral attributionBenchmarks and Evaluation2608.19833
62improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.19776
63improve model reasoning, planning, and verificationBenchmarks and Evaluation2608.19769
64strengthen multimodal understanding of charts, documents, and visual evidenceReasoning and Planning2608.19767
65identify and reduce safety, jailbreak, and alignment risksBenchmarks and Evaluation2608.19746
66make RAG retrieval and knowledge-base QA more reliableRobotics and Embodied AI2608.19613
67make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.19580
68make agents use tools and reusable skills more reliablyAgents and Tool Use2608.19557
69improve model reasoning, planning, and verificationTraining and Post-training2608.20334
70make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2608.20331
71make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2608.20326
72use benchmarks and evaluations to expose model weaknessesBenchmarks and Evaluation2608.20322
73make agents use tools and reusable skills more reliablyMultimodal Models2608.20320
74improve model reasoning, planning, and verificationReasoning and Planning2608.20316
75improve code generation, execution feedback, and automated repairInterpretability2608.20315
76make agents use tools and reusable skills more reliablyTraining and Post-training2608.20314
77make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2608.20312
78make agents use tools and reusable skills more reliablyAgents and Tool Use2608.20274