papers
Publications (16)
astro-ph.SR2017
A search for passive protoplanetary disks in the Taurus-Auriga star-forming region
Gaspard Duchene, Adam Becker, Yizhe Yang +4
cs.AI2025
PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment
Jiawei Li, Xinyue Liang, Junlong Zhang +3
cs.CL2024
PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
Huashan Sun, Yixiao Wu, Yuhao Ye +4
cs.CL2024
Speaker Verification in Agent-Generated Conversations
Yizhe Yang, Palakorn Achananuparp, Heyan Huang +2
cs.CL2023
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue
Yizhe Yang, Heyan Huang, Yihang Liu +1
cs.CL2023
MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications
Yizhe Yang, Huashan Sun, Jiawei Li +5
cs.CL2025
CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration
Yizhe Yang, Palakorn Achananuparp, Heyan Huang +5
cs.CL2024
EvoWiki: Evaluating LLMs on Evolving Knowledge
Wei Tang, Yixin Cao, Yang Deng +8
cs.CL2026
How Far Are We? Systematic Evaluation of LLMs vs. Human Experts in Mathematical Contest in Modeling
Yuhang Liu, Heyan Huang, Yizhe Yang +3
cs.LG2025
Unveiling and Addressing Pseudo Forgetting in Large Language Models
Huashan Sun, Yizhe Yang, Yinghao Li +2
cs.CL2026
MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling
Yizhe Yang, Palakorn Achananuparp, Heyan Huang +2
cs.AI2026
Diverse Thinking Schemata Elicit Better Reasoning in Large Language Models
Xinyue Liang, Yizhe Yang, Yu Bai +3
cs.CL2025
Consistent Client Simulation for Motivational Interviewing-based Counseling
Yizhe Yang, Palakorn Achananuparp, Heyan Huang +7
cs.CL2024
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
Jiahao Ying, Yixin Cao, Yushi Bai +7
cs.CL2024
Building Knowledge-Grounded Dialogue Systems with Graph-Based Semantic Modeling
Yizhe Yang, Heyan Huang, Yang Gao +1
cs.CL2022
Ask to Understand: Question Generation for Multi-hop Question Answering
Jiawei Li, Mucheng Ren, Yang Gao +1