43 citations · 53 across the 9 of their papers we have counts for
11 papers
Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning
Manjie Xu, Isabella Yin, Xinyi Tu +2
LLMs struggle with Semantic Inertia: the inability to inhibit pre-trained priors (e.g., "Lava is Dangerous") when dynamic, in-context rules contradict them. We probe this phenomeno…
HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation
Jingyi Zhou, Cheng Chen, Kai Zuo +5
Large language models (LLMs) have recently demonstrated strong potential for sequential recommendation. However, current LLM-based approaches face critical limitations in modeling…
Cross-Scenario Unified Modeling of User Interests at Billion Scale
Manjie Xu, Cheng Chen, Xin Jia +9
User interests on content platforms are inherently diverse, manifesting through complex behavioral patterns across heterogeneous scenarios such as search, feed browsing, and conten…
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu, Xinyi Yang, Jiayu Zhan +3
Self-play constitutes a fundamental paradigm for autonomous skill acquisition, whereby agents iteratively enhance their capabilities through self-directed environmental exploration…
Inferring the Unspoken: Aligning Embodied Agents with Implicit Preferences
Manjie Xu, Xinyi Yang, Wei Liang +2
Natural-language instructions rarely specify every detail required for embodied action. An agent asked to ``prepare an apple,'' for example, must still determine whether to wash or…
Active Reasoning in an Open-World Environment
Manjie Xu, Guangyuan Jiang, Wei Liang +2
Recent advances in vision-language learning have achieved notable success on complete-information question-answering datasets through the integration of extensive world knowledge.…
MEWL: Few-shot multimodal word learning with referential uncertainty
Guangyuan Jiang, Manjie Xu, Shiji Xin +4
Without explicit feedback, humans can rapidly learn the meaning of words. Children can acquire a new word after just a few passive exposures, a process known as fast mapping. This…
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts
Yu-Zhe Shi, Manjie Xu, Wenjuan Han +1
If scientific discovery is one of the main driving forces of human progress, insight is the fuel for the engine, which has long attracted behavior-level research to understand and…
On the Complexity of Bayesian Generalization
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft +6
We consider concept generalization at a large scale in the diverse and natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily…
Interactive Visual Reasoning under Uncertainty
Manjie Xu, Guangyuan Jiang, Wei Liang +2
One of the fundamental cognitive abilities of humans is to quickly resolve uncertainty by generating hypotheses and testing them via active trials. Encountering a novel phenomenon…
Evaluating and Inducing Personality in Pre-trained Language Models
Guangyuan Jiang, Manjie Xu, Song-Chun Zhu +3
Standardized and quantified evaluation of machine behaviors is a crux of understanding LLMs. In this study, we draw inspiration from psychometric studies by leveraging human person…