Good Papers

Showing papers from CASIA Show all papers

57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026, Institute of automation, ChineInstitute of Automation, ChineseCASIAInstitute of automation, ChineseAlibaba GroupUnified multimodal models

A Unified Image and Video Encoder for Multimodal LLMs

Tongtian Yue, Zikang Liu, Longteng Guo, Handong Li and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Institute of automation, ChineseInstitute of Automation, ChineseCASIADeep RL

Distribution-Adaptive Policy Optimization

Yuxiao He, Ziqi Wang, Xingzhou Lou, Xiaoqian Liu and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Institute of automation, ChineseCASIAInstitute of Automation, ChineseRL for LLMs

Boosting Off-Policy RLVR with Data-Centric Replay

Yuxiao He, Junge Zhang, Ziqi Wang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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
78%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Institute of Information EngineeBeijing University of AeronauticCASIAAlibaba GroupAgent benchmarks & environments

VeriTrip: A Verifiable Benchmark for Travel Planning Agents over Unstructured Web Corpora

VeriTrip benchmarks travel planning agents via evidence-grounded reasoning over noisy multimodal web corpora, revealing a retrieval-reasoning trade-off that erodes instruction retention.

Yuting Xu, Jiayi Tian, Jian Liang, Xin Xiong and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 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: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5