collaborators

10 papers

cs.AI2026

HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devices

Wei Liu, Siya Qi, Linhai Zhang +2

Traditional approaches to wearable health signal analysis, such as smartwatches, are constrained by rigid analytical frameworks and limited personalisation. The emergence of LLM ag…

cs.LG2026

Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain

Wei Liu, Siya Qi, Yali Du +1

Large language models (LLMs) make it plausible to build systems that improve through self-evolving loops, but many existing proposals are better understood as self-play and often p…

cs.AI2026

Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models

Wei Liu, Peijie Yu, Michele Orini +2

The agency expected of Agentic Large Language Models goes beyond answering correctly, requiring autonomy to set goals and decide what to explore. We term this investigatory intelli…

cs.CL2026

ChatbotManip: A Dataset to Facilitate Evaluation and Oversight of Manipulative Chatbot Behaviour

Jack Contro, Simrat Deol, Yulan He +1

This paper introduces ChatbotManip, a novel dataset for studying manipulation in Chatbots. It contains simulated generated conversations between a chatbot and a (simulated) user, w…

cs.CL2025

A Survey of Automatic Hallucination Evaluation on Natural Language Generation

Siya Qi, Lin Gui, Yulan He +1

The rapid advancement of Large Language Models (LLMs) has brought a pressing challenge: how to reliably assess hallucinations to guarantee model trustworthiness. Although Automatic…

cs.HC2025

Beyond Quantification: Navigating Uncertainty in Professional AI Systems

Sylvie Delacroix, Diana Robinson, Umang Bhatt +12

The growing integration of large language models across professional domains transforms how experts make critical decisions in healthcare, education, and law. While significant res…