1 citations · 1 across the 8 of their papers we have counts for
9 papers
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…
Chinese Competitive Debating Dataset and Benchmark
Zongrui Yang, Haoyuan Li, Zhongsheng Wang +5
Debate adjudication requires tracking how arguments develop through interaction, yet existing datasets rarely combine fine-grained debate transcripts with professional judgments co…
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…
Kimi K3: Open Frontier Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +398
We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…
R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory
Maoyuan Li, Zhongsheng Wang, Haoyuan Li +1
We present R-Debater, an agentic framework for generating multi-turn debates built on argumentative memory. Grounded in rhetoric and memory studies, the system views debate as a pr…
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…
Weak Supervision Techniques towards Enhanced ASR Models in Industry-level CRM Systems
Zhongsheng Wang, Sijie Wang, Jia Wang +3
In the design of customer relationship management (CRM) systems, accurately identifying customer types and offering personalized services are key to enhancing customer satisfaction…
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
Xiaojun Xiao, Sen Shen, Qiming Bao +4
In fine-tuning large language models (LLMs), conserving computational resources while maintaining effectiveness and improving outcomes within the same computational constraints is…
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…