works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.RO2026

Meta-Ctrl: Guaranteed Plan Generation by Decoupling Syntactic and Semantic Constraints

Gwen Yidou-Weng, Edward Sun, Tianyi Ma +5

LLMs generate fluent plans for robots but routinely violate the syntactic and se8mantic constraints they must satisfy to execute, and existing remedies trade formal guarantees agai…

cs.CL2026

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents

Eric Hanchen Jiang, Zhi Zhang, Yuchen Wu +11

The paper introduces MemCon, a framework that treats memory operations of large language model agents as a controllable Markov Decision Process, learning adaptive policies for when…

cs.LG2026

Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates

Edward Sun, Dmitrii Troitskii

Fine-tuning often introduces spurious correlations alongside task knowledge, causing systematic failures on underrepresented groups. Existing mitigations require retraining, group…

q-fin.TR2025

Trading-R1: Financial Trading with LLM Reasoning via Reinforcement Learning

Yijia Xiao, Edward Sun, Tong Chen +3

Developing professional, structured reasoning on par with human financial analysts and traders remains a central challenge in AI for finance, where markets demand interpretability…

q-fin.TR2025

TradingAgents: Multi-Agents LLM Financial Trading Framework

Yijia Xiao, Edward Sun, Di Luo +1

Significant progress has been made in automated problem-solving using societies of agents powered by large language models (LLMs). In finance, efforts have largely focused on singl…

cs.AI2025

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Yijia Xiao, Edward Sun, Yiqiao Jin +2

Understanding biological processes, drug development, and biotechnological advancements requires a detailed analysis of protein structures and functions, a task that is inherently…