9 citations · 9 across the 4 of their papers we have counts for
5 papers
Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement
Qimin Zhong, Hao Liao, Haiming Qin +4
Whether Large Language Models (LLMs) develop coherent internal world models remains a core debate. While conventional Next-Token Prediction (NTP) focuses on one-step-ahead supervis…
Understanding and Enhancing the Planning Capability of Language Models via Multi-Token Prediction
Qimin Zhong, Hao Liao, Siwei Wang +4
Large Language Models (LLMs) have achieved impressive performance across diverse tasks but continue to struggle with learning transitive relations, a cornerstone for complex planni…
Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View
Hao Liao, Jiwei Zhang, Jianxun Lian +7
Recommender systems based on Large Language Models (LLMs) are often plagued by hallucinations of out-of-domain (OOD) items. To address this, we propose RecLM, a unified framework t…
Exploring Loss Landscapes through the Lens of Spin Glass Theory
Hao Liao, Wei Zhang, Zhanyi Huang +5
In the past decade, significant strides in deep learning have led to numerous groundbreaking applications. Despite these advancements, the understanding of the high generalizabilit…
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors
Guanghua Li, Wensheng Lu, Wei Zhang +5
The proliferation of fake news has had far-reaching implications on politics, the economy, and society at large. While Fake news detection methods have been employed to mitigate th…