activity
20212026
most citedOn the Effectiveness of Interpretable Feedforward Neural Network

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.AI2026

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…

cs.CR2026

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…

cs.DL2026

Lacuna: A Research Map for Machine Learning

Martin Weiss, Miles Q. Li, Alejandro H. Artiles +4

Lacuna is a research map for machine learning that uses LLMs to turn papers and scholarly metadata into markdown summaries, concept elements, research directions, and research prop…

cs.AI2026

Adaptive Prompt Embedding Optimization for LLM Jailbreaking

Miles Q. Li, Benjamin C. M. Fung, Boyang Li +2

Existing white-box jailbreak attacks against aligned LLMs typically append discrete adversarial suffixes to the user prompt, which visibly alters the prompt and operates in a combi…

cs.CV2026

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…

cs.CY2026

Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents

Miles Q. Li, Benjamin C. M. Fung, Boyang Li +2

The rapid deployment of LLM-based autonomous agents has introduced safety risks that extend far beyond traditional LLM concerns, prompting a proliferation of safety benchmarks sinc…