27 papers
Who Wrote the Book? Detecting and Attributing LLM Ghostwriters
Anudeex Shetty, Qiongkai Xu, Olga Ohrimenko +1
In this paper, we introduce GhostWriteBench, a dataset for LLM authorship attribution. It comprises long-form texts (50K+ words per book) generated by frontier LLMs, and is designe…
Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space
Mohammad Reza Ghasemi Madani, Soyeon Caren Han, Shuo Yang +1
Multiple-choice questions (MCQs) are widely used to evaluate large language models (LLMs). However, LLMs remain vulnerable to the presence of plausible distractors. This often dive…
PathISE: Learning Informative Path Supervision for Knowledge Graph Question Answering
Shengxiang Gao, Chao Lei, Jey Han Lau +1
Knowledge Graph Question Answering (KGQA) aims to answer user questions by reasoning over Knowledge Graphs (KGs). Recent KGQA methods mainly follow the retrieval-augmented generati…
Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction
Dingyang Lyu, Zhengjia Xu, Jey Han Lau +1
Human mobility prediction forecasts a user's next Point of Interest (POI) from historical trajectories, supporting applications from recommendation to urban planning. Recent studie…
CIG: Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics
Ming-Bin Chen, Jey Han Lau, Lea Frermann
Measuring the quality of public deliberation requires evaluating not only civility or argument structure, but also the informational progress of a conversation. We introduce a fram…
Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning
Yanbei Jiang, Amr Keleg, Ryandito Diandaru +4
While the real world is inherently stochastic, Large Language Models (LLMs) are predominantly evaluated on single-round inference against fixed ground truths. In this work, we shif…