2026-06-21

Internal Generation Record

Internal generation metadata: 419 candidate papers.

Published 2026-06-21 Target source 2026-06-19 Actual source 2026-06-18 Candidates 419 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 2026-06-20T22:20:05.547903+00:00. Generated at 2026-06-20T22:21:35.396751+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
27make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20002
28strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2606.19887
29strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2606.20527
30make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.20523
34improve image generation, visual understanding, and controllable renderingSystems and Deployment2606.20404
35strengthen multimodal understanding of charts, documents, and visual evidenceVision and Image Generation2606.20382
31make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20520
32make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.20506
33make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.20408
36make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20376
37make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.20255
38strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2606.20246
39make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.20235
40make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20223
41improve code generation, execution feedback, and automated repairSpeech and Audio2606.20179
42make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20164
43make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.20156
44make RAG retrieval and knowledge-base QA more reliableSpeech and Audio2606.20106
45make agents use tools and reusable skills more reliablyAgents and Tool Use2606.20023
46improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.19988
47make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.19948
48improve model reasoning, planning, and verificationMultimodal Models2606.19944
49improve code generation, execution feedback, and automated repairData Engineering2606.19935
50make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2606.19934
51make agents use tools and reusable skills more reliablyTraining and Post-training2606.19927
52strengthen multimodal understanding of charts, documents, and visual evidenceRobotics and Embodied AI2606.19914