2026-07-28

Internal Generation Record

Internal generation metadata: 240 candidate papers.

Published 2026-07-28 Target source 2026-07-26 Actual source 2026-07-24 Candidates 240 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 2026-07-27T22:15:02.212989+00:00. Generated at 2026-07-27T22:16:14.229938+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1improve model reasoning, planning, and verificationData Engineering2607.22077
2make agents use tools and reusable skills more reliablyVideo Generation2607.22241
3make RAG retrieval and knowledge-base QA more reliableVideo Generation2607.22231
4make RAG retrieval and knowledge-base QA more reliableTraining and Post-training2607.22205
5make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.22078
8strengthen multimodal understanding of charts, documents, and visual evidenceCode Intelligence2607.22016
6make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.21973
7make agents use tools and reusable skills more reliablyData Engineering2607.22445
9improve code generation, execution feedback, and automated repairCode Intelligence2607.21971
10make agents use tools and reusable skills more reliablyRetrieval and RAG2607.21951
11make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.22529
12make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.22511
13make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.22422
14make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.22375
15improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2607.22356
16strengthen multimodal understanding of charts, documents, and visual evidenceBenchmarks and Evaluation2607.22293
17strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.22264
18improve model reasoning, planning, and verificationBenchmarks and Evaluation2607.22182
19make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2607.22165
20improve image generation, visual understanding, and controllable renderingReasoning and Planning2607.22091
21make agents use tools and reusable skills more reliablyAgents and Tool Use2607.22083
22make RAG retrieval and knowledge-base QA more reliableBenchmarks and Evaluation2607.22042
23make agents use tools and reusable skills more reliablyAgents and Tool Use2607.22024
24make agents use tools and reusable skills more reliablyAgents and Tool Use2607.22014
25improve model reasoning, planning, and verificationReasoning and Planning2607.22013
26strengthen multimodal understanding of charts, documents, and visual evidenceMultimodal Models2607.21970