collaborators

6 papers

cs.CL2026

ActTraitBench: Quantifying the Knowledge-Decision Gap in Large Language Models via Human-Grounded Behavioral Validation

Yutong Yang, Chenxi Miao, Weikang Li +1

While Large Language Models (LLMs) can convincingly simulate personas in explicit self-reports, they often deviate in implicit behavioral decisions, revealing a substantial Knowled…

cs.AI2026

Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models

Minda Zhao, Yutong Yang, Chufei Peng +5

Emotional tone is pervasive in human communication, yet its influence on large language model (LLM) behaviour remains unclear. Here, we examine how first-person emotional framing i…

cs.CL2026

CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark

Junzhao Zhang, Hsiu-Yuan Huang, Chenming Tang +2

Multimodal sarcasm detection has recently garnered significant attention. However, existing benchmarks suffer from coarse-grained annotations and limited cultural coverage, which h…

cs.CV2026

Single-Slice-to-3D Reconstruction in Medical Imaging and Natural Objects: A Comparative Benchmark with SAM 3D

Yan Luo, Advaith Ravishankar, Serena Liu +2

While three-dimensional imaging is essential for clinical diagnosis, its high cost and long wait times have motivated the use of image-to-3D foundation models to infer volume from…

cs.CV2026

Reliable Thinking with Images

Haobin Li, Yutong Yang, Yijie Lin +3

As a multimodal extension of Chain-of-Thought (CoT), Thinking with Images (TWI) has recently emerged as a promising avenue to enhance the reasoning capability of Multi-modal Large…

cs.CL2026

Grading Scale Impact on LLM-as-a-Judge: Human-LLM Alignment Is Highest on 0-5 Grading Scale

Weiyue Li, Minda Zhao, Weixuan Dong +12

Large language models (LLMs) are increasingly used as automated evaluators, yet prior works demonstrate that these LLM judges often lack consistency in scoring when the prompt is a…