20 papers
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…
Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
Kaiji Zhou, Ales 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…
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…
Robust Bias Evaluation with FilBBQ: A Filipino Bias Benchmark for Question-Answering Language Models
Lance Calvin Lim Gamboa, Yue Feng, Mark Lee
With natural language generation becoming a popular use case for language models, the Bias Benchmark for Question-Answering (BBQ) has grown to be an important benchmark format for…
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…