2026-09-13

Internal Generation Record

Internal generation metadata: 100 candidate papers.

Published 2026-09-13 Target source 2026-09-11 Actual source 2026-09-10 Candidates 100 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 2026-09-12T23:05:05.716262+00:00. Generated at 2026-09-12T23:17:39.855328+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
9improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2609.11910
10make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2609.11752
11make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2609.11744
12make agents use tools and reusable skills more reliablyAgents and Tool Use2609.11660
22reduce inference cost and improve deployment efficiencySystems and Deployment2609.11799
23improve code generation, execution feedback, and automated repairCode Intelligence2609.11790
13improve model reasoning, planning, and verificationTraining and Post-training2609.11929
14make agents use tools and reusable skills more reliablyAgents and Tool Use2609.11911
15make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.11900
16improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2609.11867
17improve model reasoning, planning, and verificationTraining and Post-training2609.11864
18make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.11860
19make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.11842
20make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2609.11818
21make RAG retrieval and knowledge-base QA more reliableRetrieval and RAG2609.11808
24improve image generation, visual understanding, and controllable renderingBenchmarks and Evaluation2609.11780
25make RAG retrieval and knowledge-base QA more reliableSpeech and Audio2609.11762
26make agents use tools and reusable skills more reliablyVideo Generation2609.11725
27make RAG retrieval and knowledge-base QA more reliableSpeech and Audio2609.11724
28improve model reasoning, planning, and verificationTraining and Post-training2609.11699
29make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2609.11682
30make RAG retrieval and knowledge-base QA more reliableData Engineering2609.11646
31make agents use tools and reusable skills more reliablyAgents and Tool Use2609.11636
32strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2609.11916
33make agents use tools and reusable skills more reliablyRetrieval and RAG2609.11904
34make agents use tools and reusable skills more reliablyVideo Generation2609.11899