25 citations · 33 across the 12 of their papers we have counts for
12 papers
Latent Thought Credit: Multi-Answer Credit Assignment for Latent Reasoning
Xuyang Zhao, Liting Zhang, Zichen Xu +4
Latent reasoning allows language models to carry out intermediate reasoning in continuous latent representations rather than fully externalizing it as discrete chains of thought. H…
Is More Privileged Information Better? From Solution Traces to Problem-Solving Structure in Self-Distilled Reasoning
Xuyang Zhao, Liting Zhang, Zichen Xu +4
On-policy self-distillation (OPSD) improves reasoning by using a privileged view of a model conditioned on reference solutions to supervise a student view that observes only the qu…
TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization
Liting Zhang, Shiwan Zhao, Xuyang Zhao +3
Latent reasoning has emerged as a promising alternative to discrete Chain-of-Thought (CoT) in large language models (LLMs), enabling more expressive reasoning by operating over con…
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning
Shiwan Zhao, Zhihu Wang, Xuyang Zhao +10
Post-training has become central to turning pretrained large language models (LLMs) into aligned, capable, and deployable systems. Recent progress spans supervised fine-tuning (SFT…
MAPEX: A Multi-Agent Pipeline for Keyphrase Extraction
Liting Zhang, Shiwan Zhao, Aobo Kong +1
Keyphrase extraction is a fundamental task in natural language processing. However, existing unsupervised prompt-based methods for Large Language Models (LLMs) often rely on single…
AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning
Xuyang Zhao, Shiwan Zhao, Hualong Yu +2
Multi-agent systems (MAS) powered by large language models (LLMs) hold significant promise for solving complex decision-making tasks. However, the core process of collaborative dec…
RealTalk-CN: A Realistic Chinese Speech-Text Dialogue Benchmark With Cross-Modal Interaction Analysis
Enzhi Wang, Qicheng Li, Shiwan Zhao +6
In recent years, large language models (LLMs) have achieved remarkable advancements in multimodal processing, including end-to-end speech-based language models that enable natural…
SDPO: Segment-Level Direct Preference Optimization for Social Agents
Aobo Kong, Wentao Ma, Shiwan Zhao +7
Social agents powered by large language models (LLMs) can simulate human social behaviors but fall short in handling complex social dialogues. Direct Preference Optimization (DPO)…
Self-Prompt Tuning: Enable Autonomous Role-Playing in LLMs
Aobo Kong, Shiwan Zhao, Hao Chen +6
Recent advancements in LLMs have showcased their remarkable role-playing capabilities, able to accurately simulate the dialogue styles and cognitive processes of various roles base…
Better Zero-Shot Reasoning with Role-Play Prompting
Aobo Kong, Shiwan Zhao, Hao Chen +6
Modern large language models (LLMs) exhibit a remarkable capacity for role-playing, enabling them to embody not only human characters but also non-human entities. This versatility…
PromptRank: Unsupervised Keyphrase Extraction Using Prompt
Aobo Kong, Shiwan Zhao, Hao Chen +4
The keyphrase extraction task refers to the automatic selection of phrases from a given document to summarize its core content. State-of-the-art (SOTA) performance has recently bee…
CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention
Zhiqiang Nie, Jiankun Zhao, Qicheng Li +1
Predicting the State-of-Health (SoH) of lithium-ion batteries is a fundamental task of battery management systems on electric vehicles. It aims at estimating future SoH based on hi…