6 citations · 14 across the 21 of their papers we have counts for
8 papers · 1 filter
Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
Kaiji Zhou, Aleš Leonardis, Yue Feng
Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse expert models and tools. However, existing frameworks typicall…
RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation
Kaiji Zhou, Vladimir Kalmykov, Yue Feng
Recommender systems increasingly face a choice among heterogeneous agents -- collaborative filters, sequential models, content-based retrievers, and LLM-based rerankers -- yet no s…
From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
Haishuo Fang, Yue Feng, Iryna Gurevych
Large language models (LLMs) have shown promise in automating scientific peer review. However, existing approaches often struggle to generate in-depth reviews supported by concrete…
When to Think Deeply: Inhibitory Deliberation for LLM Reasoning
Zhixuan He, Yue Feng
Reasoning Large Language Models can improve problem-solving performance through deliberative inference, but invoking slow reasoning for every input is computationally expensive and…
Certified Program Synthesis with a Multi-Modal Verifier
Yueyang Feng, Dipesh Kafle, Vladimir Gladshtein +5
Certified program synthesis (aka vericoding) is the process of automatically generating a program, its formal specification, and a machine-checkable proof of their alignment from a…
From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation
Mingfei Lu, Yi Zhang, Mengjia Wu +1
Legal consultation question answering (Legal CQA) presents unique challenges compared to traditional legal QA tasks, including the scarcity of high-quality training data, complex t…