27 citations · 30 across the 6 of their papers we have counts for
12 papers
Who May Release an Agent's Promise? Standing over Commitments in Multi-Party Chat
Lan Wei, Bingyu Shen, Jiaqi Tang +6
When an assistant serving a team makes a promise to Alice, who may cancel it? We call this standing: only the creditor (the person owed) or someone the creditor or operator policy…
Executable Prefix Values for Locating Agent Failures
Bingyu Shen, Jiaqi Tang, Lan Wei +3
Work on debugging LLM agents treats the "first mistake" marked by a human or LLM judge as ground truth for where a trajectory failed. We ask whether such labels point at causes or…
MOMAT: Mixture of Multiple Atlases for Low-Power Jailbreak Defense of Quantized LLMs
Boyang Li, Bingyu Shen, Weihao Hong +6
Quantized large language models are increasingly deployed on edge devices for their low latency and energy efficiency. However, model quantization weakens alignment safeguards, lea…
Empty Commitments: When Agents Promise What They Cannot Deliver
Jiaqi Tang, Lan Wei, Bingyu Shen +6
A chatbot that says "I will remind you tomorrow" will not run again until the user writes. We call such a promise an empty commitment: a promise of action after the current turn th…
Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret
Bingyu Shen, Boyang Li
Long tasks produce more history than an LLM agent can hold in its context, and more than it uses reliably even when the history fits. A growing line of work therefore has agents ca…
LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models
Zhiyuan Jiang, Weihao Hong, Xinlei Guan +8
Vision-Language Models (VLMs) are increasingly deployed in settings where reliable visual grounding carries operational consequences, yet their behavior under progressively coerciv…
HadAgent: Harness-Aware Decentralized Agentic AI Serving with Proof-of-Inference Blockchain Consensus
Landy Jimenez, Mariah Weatherspoon, Bingyu Shen +3
Proof-of-Work (PoW) blockchain consensus consumes vast computational resources without producing useful output, while the rapid growth of large language model (LLM) agents has crea…
Toward Accountable AI-Generated Content on Social Platforms: Steganographic Attribution and Multimodal Harm Detection
Xinlei Guan, David Arosemena, Tejaswi Dhandu +7
The rapid growth of generative AI has introduced new challenges in content moderation and digital forensics. In particular, benign AI-generated images can be paired with harmful or…
Tone Matters: The Impact of Linguistic Tone on Hallucination in VLMs
Weihao Hong, Zhiyuan Jiang, Bingyu Shen +4
Vision-Language Models (VLMs) are increasingly used in safety-critical applications that require reliable visual grounding. However, these models often hallucinate details that are…
A Study of the Human Perception of Synthetic Faces
Bingyu Shen, Brandon RichardWebster, Alice O'Toole +2
Advances in face synthesis have raised alarms about the deceptive use of synthetic faces. Can synthetic identities be effectively used to fool human observers? In this paper, we in…
Measuring Human Perception to Improve Handwritten Document Transcription
Samuel Grieggs, Bingyu Shen, Greta Rauch +5
The subtleties of human perception, as measured by vision scientists through the use of psychophysics, are important clues to the internal workings of visual recognition. For insta…
An Anti-fraud System for Car Insurance Claim Based on Visual Evidence
Pei Li, Bingyu Shen, Weishan Dong
Automatically scene understanding using machine learning algorithms has been widely applied to different industries to reduce the cost of manual labor. Nowadays, insurance companie…