Good Papers

Showing papers from ByteDance Seed Show all papers

57%Worth a look
?Worth a lookVote to see the score

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context

Zhaowei Wang, Lishu Luo, Haodong Duan, WeiWeiLiu and 8 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
86%Must read
?Must readVote to see the score

GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators

GenEnv co-evolves LLM agents with generative simulators via difficulty-aligned curricula, improving 7B agents by up to 40.3% with 3.3x less data.

Jiacheng Guo, Ling Yang, Peter Chen, Qixin Xiao and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 19 on Hugging Face · Code ★ 67

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5