activity
20242026
most citedStop-RAG: Value-Based Retrieval Control for Iterative RAG

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

ToolMATH: A Diagnostic Benchmark for Long-Horizon Tool Use under Systematic Tool-Catalog Constraints

Hyeonje Choi, Jeongsoo Lee, Hyojun Lee +1

We introduce \ToolMATH, a math-grounded diagnostic benchmark for evaluating long-horizon tool use under controllable tool-catalog conditions. \ToolMATH converts stepwise MATH solut…

cs.LG2025★ 1 cited

Stop-RAG: Value-Based Retrieval Control for Iterative RAG

Jaewan Park, Solbee Cho, Jay-Yoon Lee

Iterative retrieval-augmented generation (RAG) enables large language models to answer complex multi-hop questions, but each additional loop increases latency, costs, and the risk…

cs.CL2025

Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning

Jungsuk Oh, Jay-Yoon Lee

Probabilistic decoding in Large Language Models (LLMs) often yields inconsistent outputs, particularly on complex or long-form questions. Self-Consistency (SC) mitigates this for s…

cs.PL2025

Retargeting an Abstract Interpreter for a New Language by Partial Evaluation

Jay Lee

It is well-known that abstract interpreters can be systematically derived from their concrete counterparts using a "recipe," but developing sound static analyzers remains a time-co…

cs.LG2025

UniFault: A Fault Diagnosis Foundation Model from Bearing Data

Emadeldeen Eldele, Mohamed Ragab, Xu Qing +5

Machine fault diagnosis (FD) is a critical task for predictive maintenance, enabling early fault detection and preventing unexpected failures. Despite its importance, existing FD m…

cs.CL2024

LaSEr-Edit: Localized Span-level Error Editing with Energy-based Localization

Hye Ryung Son, Saehee Eom, Mooho Song +1

As large language models (LLMs) are widely adopted in real-world applications, it has become critical to ensure LLMs satisfy safety constraints, such as non-toxicity and logical co…

cs.CL2024★ 1 cited

Case-Based Reasoning Approach for Solving Financial Question Answering

Yikyung Kim, Jay-Yoon Lee

Measuring a machine's understanding of human language often involves assessing its reasoning skills, i.e. logical process of deriving answers to questions. While recent language mo…