2026-06-25

Internal Generation Record

Internal generation metadata: 364 candidate papers.

Published 2026-06-25 Target source 2026-06-23 Actual source 2026-06-23 Candidates 364 Featured 6 Tracked 20

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 2026-06-24T22:37:20.617777+00:00. Generated at 2026-06-24T22:38:39.980086+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1improve model reasoning, planning, and verificationMultimodal Models2606.24759
2make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.24589
3make RAG retrieval and knowledge-base QA more reliableVision and Image Generation2606.24333
4make agents use tools and reusable skills more reliablyRetrieval and RAG2606.24331
6improve code generation, execution feedback, and automated repairVideo Generation2606.24758
9make agents use tools and reusable skills more reliablyAgents and Tool Use2606.24601
5make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.24775
7improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.24716
8make agents use tools and reusable skills more reliablyRetrieval and RAG2606.24623
10improve code generation, execution feedback, and automated repairTraining and Post-training2606.24464
11make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.24330
12identify and reduce safety, jailbreak, and alignment risksInterpretability2606.24251
13make RAG retrieval and knowledge-base QA more reliableVideo Generation2606.24187
14make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.24107
15improve code generation, execution feedback, and automated repairSystems and Deployment2606.24092
16strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2606.24874
17make RAG retrieval and knowledge-base QA more reliableMultimodal Models2606.24740
18make RAG retrieval and knowledge-base QA more reliableMultimodal Models2606.24570
19make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2606.24501
20improve code generation, execution feedback, and automated repairVision and Image Generation2606.24498
21make RAG retrieval and knowledge-base QA more reliableData Engineering2606.24484
22improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.24302
23strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2606.24292
24improve model reasoning, planning, and verificationTraining and Post-training2606.24196
25improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.24178
26make RAG retrieval and knowledge-base QA more reliableData Engineering2606.24161