Good Papers

Showing papers from The Hong Kong University of Science and Technology(Guangzhou) Show all papers

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

Multimodal Context-Aware Human Motion Generation with Language, Vision, and Object

Junyu Shi, Yong Sun, Zhiyuan Zhang, Lijiang LIU and 3 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
91%Must read
?Must readVote to see the score

DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents

DiagEval uses trajectory-conditioned diagnostic probes to disambiguate evaluator errors from software defects in GUI-agent evaluations, recovering over 45% of misattributed failures and improving accuracy substantially.

Sirui Hong, Liuzhijie, Tengfei Li, Wei Tao and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
17/20 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: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5
80%Must read
?Must readVote to see the score

Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains

SR-MCR aligns multimodal reasoning via intrinsic process rewards and a critic-free GRPO objective, achieving 81.4% average accuracy across visual benchmarks.

jusheng zhang, Ningyuan Liu, Kaitong Cai, Sidi Liu and 3 more

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

– ReadersNo votes yet
12/20 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: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5