397 citations · 1.7k across the 82 of their papers we have counts for
7 papers · 1 filter
Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction
Som Sagar, Shasha Li, Hejie Cui +2
Agent harnesses specify the roles, instructions, tools, and communication structure used to solve a task, and the right harness depends on the query. Because the value of each desi…
RPTune: Learned Context Curation for LLM Catalog Search
Chuxuan Hu, Hejie Cui, Norman Huang +3
For small merchant businesses (SMBs) whose catalogs fit within a long-context LLM, full-catalog prompting offers a compelling alternative to multi-stage retrieval designed primaril…
AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation
Rishabh Agrawal, Hejie Cui, Shasha Li +2
A small trainable advisor can steer a frozen language-model executor using natural-language advice. In addition to learning from task rewards, the advisor can use feedback from com…
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
Yuxing Lu, Yicheng Chen, Shanchan Wu +1
Large language models are increasingly deployed as agents that plan over long horizons and act through external tools. Most agents select actions through unconstrained generation o…
PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity
Anmol Kankariya, Sercan Ö. Arık
While Large Language Models (LLMs) excel at many tasks, they frequently struggle with complex reasoning that requires long-horizon planning and iterative error correction. Furtherm…
An Agentic Approach to Metadata Reasoning
Jiani Zhang, Sercan O. Arik, Cosmin Arad +2
As autonomous LLM agents evolve to perform complex analytical tasks that require integrating multiple datasets, the problem of discovering relevant data sources becomes a key bottl…
Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey
Bhavuk Jain, Sercan Ö. Arık, Hardeo K. Thakur
Multimodal large language models (MLLMs) integrate information from multiple modalities such as text, images, audio, and video, enabling complex capabilities such as visual questio…