5 papers
Cognitive Foundations for Reasoning and Their Manifestation in LLMs
Priyanka Kargupta, Shuyue Stella Li, Haocheng Wang +9
Large language models (LLMs) solve complex problems yet fail on simpler variants, suggesting they achieve correct outputs through mechanisms fundamentally different from human reas…
ReasoningFlow: Semantic Structure of Complex Reasoning Traces
Jinu Lee, Sagnik Mukherjee, Dilek Hakkani-Tur +1
Large reasoning models (LRMs) generate complex reasoning traces with planning, reflection, verification, and backtracking. In this work, we introduce ReasoningFlow, a unified schem…
LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation
Chaeeun Kim, Jinu Lee, Wonseok Hwang
Legal Case Retrieval (LCR), which retrieves relevant cases from a query case, is a fundamental task for legal professionals in research and decision-making. However, existing studi…
Entailment-Preserving First-order Logic Representations in Natural Language Entailment
Jinu Lee, Qi Liu, Runzhi Ma +4
First-order logic (FOL) can represent the logical entailment semantics of natural language (NL) sentences, but determining natural language entailment using FOL remains a challenge…
Evaluating Step-by-step Reasoning Traces: A Survey
Jinu Lee, Julia Hockenmaier
Step-by-step reasoning is widely used to enhance the reasoning ability of large language models (LLMs) in complex problems. Evaluating the quality of reasoning traces is crucial fo…