2026-09-17

Internal Generation Record

Internal generation metadata: 399 candidate papers.

Published 2026-09-17 Target source 2026-09-15 Actual source 2026-09-15 Candidates 399 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 2026-09-16T23:38:13.037495+00:00. Generated at 2026-09-16T23:39:57.195616+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1make RAG retrieval and knowledge-base QA more reliableVision and Image Generation2609.16842
2improve code generation, execution feedback, and automated repairSystems and Deployment2609.16742
3make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2609.16564
4make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.17218
7make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.16811
12improve code generation, execution feedback, and automated repairVideo Generation2609.17198
5make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2609.17094
6improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2609.17067
8make agents use tools and reusable skills more reliablyRetrieval and RAG2609.16777
9strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2609.16486
10make agents use tools and reusable skills more reliablySystems and Deployment2609.17391
11make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.17346
13make agents use tools and reusable skills more reliablyAgents and Tool Use2609.17088
14use benchmarks and evaluations to expose model weaknessesBenchmarks and Evaluation2609.16816
15improve code generation, execution feedback, and automated repairData Engineering2609.16775
16make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.16730
17improve model reasoning, planning, and verificationVideo Generation2609.16722
18make RAG retrieval and knowledge-base QA more reliableSpeech and Audio2609.16614
19strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2609.16535
20improve code generation, execution feedback, and automated repairSystems and Deployment2609.17509
21strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2609.17458
22make RAG retrieval and knowledge-base QA more reliableCode Intelligence2609.17387
23make agents use tools and reusable skills more reliablyReasoning and Planning2609.17306
24make RAG retrieval and knowledge-base QA more reliableMultimodal Models2609.17269
25make RAG retrieval and knowledge-base QA more reliableCode Intelligence2609.17241
26strengthen multimodal understanding of charts, documents, and visual evidenceTraining and Post-training2609.17211