Papers by Jianghui Wang

2 papers
Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning (2026.findings-eacl)

Copied to clipboard

Challenge: Recent studies find 25-50% of evaluation datasets appear in training corpora . contamination hinders the possibility to differentiate memorization and reasoning skills.
Approach: They propose a two-player trading card game that is contaminated by a public engine and hidden card implementations to prevent benchmark saturation.
Outcome: The proposed benchmark is based on a new two-player trading card game similar to Magic: The Gathering.
MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft Control (2026.acl-long)

Copied to clipboard

Challenge: Existing systems rely on a monolithic policy to execute subgoals across varying contexts, causing inconsistent outcomes and scaling only partially mitigates.
Approach: They propose a memory-routed mixtureof-experts controller for Adaptive Minecraft Control that routes via a subgoal-indexed expert memory and regulates capacity through failure-triggered expert growth and redundancy-aware consolidation.
Outcome: The proposed controller shows significant gains in adaptability, robustness, and execution consistency over strong baselines.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations