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20232026
most citedAssessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning

4 citations · 5 across the 10 of their papers we have counts for

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cs.AI2026

Can We Believe AI Peer Review?

Zongrui Yang, Haoyuan Li, Zhongsheng Wang +2

As large language models become widely used in scientific review and manuscript revision, AI scores are increasingly serving as feedback for assessing paper quality and guiding edi…

cs.AI2026

SDO: Subspace Deconflicting Operator for Multi-Adapter Composition

Zhongsheng Wang, Zhedong Lin, Qian Liu +2

Composing independently trained adapters within a shared diffusion backbone provides a modular approach to multi-character generation, but naive joint deployment often causes ident…

cs.AI2025

CharCom: Composable Identity Control for Multi-Character Story Illustration

Zhongsheng Wang, Ming Lin, Zhedong Lin +3

Ensuring character identity consistency across varying prompts remains a fundamental limitation in diffusion-based text-to-image generation. We propose CharCom, a modular and param…

cs.AI2025

Situational-Constrained Sequential Resources Allocation via Reinforcement Learning

Libo Zhang, Yang Chen, Toru Takisaka +3

Sequential Resource Allocation with situational constraints presents a significant challenge in real-world applications, where resource demands and priorities are context-dependent…

cs.AI2024

ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning

Zhongsheng Wang, Jiamou Liu, Qiming Bao +2

Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limita…