2026-06-14

Internal Generation Record

Internal generation metadata: 395 candidate papers.

Published 2026-06-14 Target source 2026-06-12 Actual source 2026-06-11 Candidates 395 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 2026-06-13T22:16:21.203907+00:00. Generated at 2026-06-13T22:17:08.641319+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
27improve code generation, execution feedback, and automated repairData Engineering2606.12845
28make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2606.12765
29make agents use tools and reusable skills more reliablyAgents and Tool Use2606.13662
30make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.13608
32improve model reasoning, planning, and verificationRobotics and Embodied AI2606.13497
34make agents use tools and reusable skills more reliablyRetrieval and RAG2606.13397
31improve image generation, visual understanding, and controllable renderingBenchmarks and Evaluation2606.13513
33improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.13438
35make agents use tools and reusable skills more reliablyCode Intelligence2606.13392
36make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.13338
37improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2606.13332
38strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2606.13288
39make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.13275
40make RAG retrieval and knowledge-base QA more reliableData Engineering2606.13267
41improve model reasoning, planning, and verificationCode Intelligence2606.13233
42make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2606.13227
43improve model reasoning, planning, and verificationBenchmarks and Evaluation2606.13171
44make agents use tools and reusable skills more reliablyCode Intelligence2606.13097
45make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2606.13082
46improve code generation, execution feedback, and automated repairSystems and Deployment2606.13054
47strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2606.13041
48improve code generation, execution feedback, and automated repairTraining and Post-training2606.13007
49make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2606.13003
50make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2606.12988
51make agents use tools and reusable skills more reliablyCode Intelligence2606.12945
52make RAG retrieval and knowledge-base QA more reliableSystems and Deployment2606.12939