Good Papers

Showing papers from International Digital Economy Academy, International Digital Economy Academy Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026International Digital Economy AcTongjiGuangdong OPPO Mobile TelecommunNanyang TechnologicalBytedanceLLM agents & planning

AgenTracer-v2: Agentic Failure Tracer for LLM Agentic Systems

Guibin Zhang, Haoyu Lu, Junhao Wang, He Zhu and 3 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
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Hong Kong PolytechnicMonashInternational Digital Economy AcJilinGriffithLLM reasoning & chain of thought

MemPilot: Learning Transferable Latent Memory Mechanisms for LLM Reasoning

Changlong Shi, LINHAO LUO, Shigeng Chen, Guibin Zhang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 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
91%Must read
?Must readVote to see the score
NeurIPS 2026The University of Hong KongImmunocan BiotechPekingInternational Digital Economy AcInternational Digital Economy AcMolecules & drug discovery

Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization

SGRPO directly rewards set-level diversity via leave-one-out contributions in a flexible GRPO framework, expanding the utility-diversity Pareto frontier across biomolecular design tasks.

Xinwu Ye, He CAO, Li Hao, Bin Feng and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 3

– 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 9/10
strict 3/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026International Digital Economy AcIDEAU MacauWeb & GUI agents

VSearcher: Long-Horizon Multimodal Search Agent via Reinforcement Learning

VSearcher uses reinforcement learning to turn static multimodal models into long-horizon web search agents that surpass proprietary models on multimodal search benchmarks.

RUIYANG ZHANG, Qianguo Sun, Chao Song, Yiyan Qi and 1 more

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

– ReadersNo votes yet
10/20 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: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
86%Must read
?Must readVote to see the score
NeurIPS 2026ZhejiangBeijing University of AeronauticThe Chinese University of Hong KShandongnanjing universityAgent benchmarks & environments

EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies

EcoGym benchmarks long-horizon LLM economic planning across open-source environments, revealing no single model dominates and exposing strategic and execution suboptimalities.

Xueyu Hu, Jinxiang Xia, Shengze Xu, Kangqi Song and 12 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 11 on Hugging Face · Code ★ 99

– 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
74%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026U Science and Technology of ChinU the Chinese Academy of ScienceCity University of Hong KongTsinghuaZhejiangEmbodied agents

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

MineEvolve converts Minecraft execution feedback into structured skills and remedies via Monitor, Inducer, Curator, and Adaptor, improving long-horizon agent performance across planners.

Zhengwei Xie, Zhisheng Chen, Ziyan Weng, Jinhan Li and 6 more

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

– ReadersNo votes yet
9/20 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: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5