15 papers
Augmented Backpressure for Decentralized Management of Agentic Networks
Zuyuan Zhang, Sizhe Tang, Tian Lan
Agentic foundation-model service networks handle requests spanning retrieval, planning, generation, verification, and tool use. Unlike traditional communication networks, control p…
PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM/VLM Agents for VLSI Physical Design
Qiufeng Li, Rongqian Chen, Quan Cheng +6
The paper presents PDAGENT-BENCH, a benchmark suite and workflow framework for evaluating large language model and vision‑language model agents on VLSI physical design tasks, cover…
The Topology of Ill-Posed Questions: Persistent Homology for Detection and Steering in LLMs
Guangyu Jiang, Sizhe Tang, Mahdi Imani +1
Ill-posed questions, including ambiguous, underspecified, or contradictory queries, may admit no valid answer or multiple plausible answers, posing a challenge for large language m…
FlowEdit: Information-Theoretic Control of LLM Reasoning Flows for Ill-posed Problems Involving Conflicts
Sizhe Tang, Guangyu Jiang, Yu Li +3
Large Language Models (LLMs) perform strongly on well-specified reasoning tasks with a feasible answer. However, problems encountered in the open world can become ill-posed due to…
AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI
Qiufeng Li, Shu Hong, Tian Lan +1
Recent advances in generative AI (GenAI) have shown transformative potential for modern hardware design. However, existing GenAI-driven approaches fall short of enabling large-scal…
IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents
Rongqian Chen, Yu Li, Zeyu Fang +3
Computer-Use Agents (CUAs) leverage large language models to execute GUI operations on desktop environments, yet they generate actions without evaluating action quality, leading to…