2026-07-31
Today tracks: make agents use tools and reusable skills more reliably, make agents use tools and reusable skills more reliably, improve model reasoning, planning, and verification.
339 candidates 6 featured Source 2026-07-29 Read 2026-07-30
Today tracks: improve code generation, execution feedback, and automated repair, improve code generation, execution feedback, and automated repair, improve code generation, execution feedback, and automated repair.
355 candidates 6 featured Source 2026-07-28 Read 2026-07-29
Today tracks: improve code generation, execution feedback, and automated repair, make agents use tools and reusable skills more reliably, improve code generation, execution feedback, and automated repair.
335 candidates 6 featured Source 2026-07-27 Read 2026-07-20
Today tracks: make agents use tools and reusable skills more reliably, improve model reasoning, planning, and verification, improve code generation, execution feedback, and automated repair.
326 candidates 6 featured Source 2026-07-16 Read 2026-07-18
Today tracks: make agents use tools and reusable skills more reliably, strengthen multimodal understanding of charts, documents, and visual evidence, improve code generation, execution feedback, and automated repair.
326 candidates 6 featured Source 2026-07-16 Read 2026-07-17
Today tracks: make agents use tools and reusable skills more reliably, make agents use tools and reusable skills more reliably, test temporal consistency and motion realism in video generation.
289 candidates 6 featured Source 2026-07-15 Read 2026-07-14
Today tracks: improve model reasoning, planning, and verification, strengthen multimodal understanding of charts, documents, and visual evidence, strengthen multimodal understanding of charts, documents, and visual evidence.
249 candidates 6 featured Source 2026-07-10 Read 2026-07-10
Today tracks: make RAG retrieval and knowledge-base QA more reliable, make agents use tools and reusable skills more reliably, improve model reasoning, planning, and verification.
287 candidates 6 featured Source 2026-07-08 Read 2026-07-08
Today tracks: improve code generation, execution feedback, and automated repair, improve code generation, execution feedback, and automated repair, make agents use tools and reusable skills more reliably.
369 candidates 6 featured Source 2026-07-06 Read 2026-07-04
Today tracks: strengthen multimodal understanding of charts, documents, and visual evidence, make RAG retrieval and knowledge-base QA more reliable, make agents use tools and reusable skills more reliably.
445 candidates 6 featured Source 2026-07-02 Read 2026-07-02
Today tracks: strengthen multimodal understanding of charts, documents, and visual evidence, improve model reasoning, planning, and verification, make agents use tools and reusable skills more reliably.
453 candidates 6 featured Source 2026-06-30 Read 2026-06-26
Today tracks: strengthen multimodal understanding of charts, documents, and visual evidence, improve model reasoning, planning, and verification, make agents use tools and reusable skills more reliably.
337 candidates 6 featured Source 2026-06-24 Read 2026-06-24
Today tracks: strengthen multimodal understanding of charts, documents, and visual evidence, make agents use tools and reusable skills more reliably, make agents use tools and reusable skills more reliably.
457 candidates 6 featured Source 2026-06-22 Read 2026-06-22
Today tracks: make agents use tools and reusable skills more reliably, improve code generation, execution feedback, and automated repair, make agents use tools and reusable skills more reliably.
419 candidates 6 featured Source 2026-06-18 Read 2026-06-21
Today tracks: make agents use tools and reusable skills more reliably, strengthen multimodal understanding of charts, documents, and visual evidence, strengthen multimodal understanding of charts, documents, and visual evidence.
419 candidates 6 featured Source 2026-06-18 Read 2026-06-20
Today tracks: improve code generation, execution feedback, and automated repair, make RAG retrieval and knowledge-base QA more reliable, make RAG retrieval and knowledge-base QA more reliable.
419 candidates 6 featured Source 2026-06-18 Read 2026-06-18
Today tracks: make RAG retrieval and knowledge-base QA more reliable, make agents use tools and reusable skills more reliably, improve model reasoning, planning, and verification.
499 candidates 6 featured Source 2026-06-16 Read 2026-06-16
Today tracks: improve code generation, execution feedback, and automated repair, make agents use tools and reusable skills more reliably, make agents use tools and reusable skills more reliably.
302 candidates 6 featured Source 2026-06-12 Read 2026-06-15
Today tracks: make RAG retrieval and knowledge-base QA more reliable, make agents use tools and reusable skills more reliably, make RAG retrieval and knowledge-base QA more reliable.
395 candidates 6 featured Source 2026-06-11 Read 2026-06-14
Today tracks: improve code generation, execution feedback, and automated repair, make RAG retrieval and knowledge-base QA more reliable, make agents use tools and reusable skills more reliably.
395 candidates 6 featured Source 2026-06-11 Read 2026-06-10
Today tracks: make agents use tools and reusable skills more reliably, strengthen multimodal understanding of charts, documents, and visual evidence, test temporal consistency and motion realism in video generation.
571 candidates 6 featured Source 2026-06-08 Read 2026-06-09
Today tracks: make agents use tools and reusable skills more reliably, improve model reasoning, planning, and verification, strengthen multimodal understanding of charts, documents, and visual evidence.
344 candidates 6 featured Source 2026-06-05 Read 2026-06-08
Today tracks: improve model reasoning, planning, and verification, strengthen multimodal understanding of charts, documents, and visual evidence, make RAG retrieval and knowledge-base QA more reliable.
344 candidates 6 featured Source 2026-06-05 Read 2026-06-03
Today tracks: physical AI world models, reasoning evaluation, edge agent systems, and inference architecture.
273 candidates 5 featured Source 2026-06-01 Read