2026-06-26

Internal Generation Record

Internal generation metadata: 337 candidate papers.

Published 2026-06-26 Target source 2026-06-24 Actual source 2026-06-24 Candidates 337 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 2026-06-25T22:42:28.393898+00:00. Generated at 2026-06-25T22:43:51.354088+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1strengthen multimodal understanding of charts, documents, and visual evidenceRobotics and Embodied AI2606.25985
2improve model reasoning, planning, and verificationData Engineering2606.25254
3make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.25589
4improve code generation, execution feedback, and automated repairTraining and Post-training2606.26007
5strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2606.25758
7make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2606.25732
6improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.25757
8make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.25651
9improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.25634
10improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.25478
11improve code generation, execution feedback, and automated repairTraining and Post-training2606.25442
12make agents use tools and reusable skills more reliablyMultimodal Models2606.25375
13make agents use tools and reusable skills more reliablyTraining and Post-training2606.25319
14make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.25245
15make agents use tools and reusable skills more reliablyReasoning and Planning2606.25996
16make agents use tools and reusable skills more reliablyVideo Generation2606.26087
17improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.26079
18make agents use tools and reusable skills more reliablyAgents and Tool Use2606.26057
19improve model reasoning, planning, and verificationMultimodal Models2606.26041
20strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2606.26036
21make agents use tools and reusable skills more reliablyTraining and Post-training2606.26027
22make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.26021
23improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.25990
24improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.25956
25improve code generation, execution feedback, and automated repairData Engineering2606.25953
26make agents use tools and reusable skills more reliablyVideo Generation2606.25880