From the 1 of 17 linked papers with an AI index.
17 papers
EDGE: Experience-Distillation for Guided Exploration in Agentic Reinforcement Learning
Can Xie, Yuyi Zhou, Wen Yang +5
Reinforcement learning with outcome-based objectives such as GRPO enables LLM-based agents to solve complex, long-horizon tasks, yet the reusable exploration patterns embedded in i…
Project2Task: Graph-Guided Project-Level Planning for Autonomous Research
Huirui Xu, Runtao Xu, Shuo Ren +1
Research agents can increasingly search literature, propose hypotheses, generate code, run experiments, and draft manuscripts from a single topic. However, a research project is no…
EviGraph: Evidence-Guided Autonomous Research Agents
Zhenjiang Ren, Ruiji Li, Xujing Zhang +3
Autonomous research agents can generate hypotheses, execute experiments, and draft manuscripts, yet their outputs often contain unsupported claims and inconsistencies between resea…
AgenticECO: An Agentic Framework for ECO on 3D Integrated Circuits
Shuo Ren, Yaohui Han, Libo Shen +4
As Moore's law slows, the industry is turning to three-dimensional integration; yet in merged 3D-IC flows, routed designs expose bond-level defects with no 2D analogue, and post-ro…
CLIP-3D: Closed-Loop Evaluation of Performance and Physical Constraints for 3D ICs
Shuo Ren, Libo Shen, Yaohui Han +6
The paper introduces CLIP-3D, a methodology that integrates power, cache, and thermal models with architectural simulation to evaluate the performance and physical constraints of 3…
AgenticPD: A Stage-Aware Agentic Framework for Physical Design QoR Optimization
Shuo Ren, Zijin Cheng, Yaohui Han +7
Physical design quality-of-results~(QoR) optimization is hard and expensive. Choices made at one stage can help or hurt later stages. Each evaluation requires a costly EDA run thro…