Cover Image

Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jo, Hwiyeol, Lee, Joosung, Lee, Jaehone, Lee, Sang-Woo, Park, Joonsuk, Yoo, Kang Min
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Hallucination Detection via Future Context
by: Lee, Joosung, et al.
Published: (2025)

ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models
by: Jo, Hwiyeol, et al.
Published: (2024)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)

What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"
by: Lee, Joosung, et al.
Published: (2026)

Enhanced Facet Generation with LLM Editing
by: Lee, Joosung, et al.
Published: (2024)

Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?
by: Qi, Yilin, et al.
Published: (2025)

Think, Verbalize, then Speak: Bridging Complex Thoughts and Comprehensible Speech
by: Woo, Sang Hoon, et al.
Published: (2025)

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
by: Kim, Wonjoong, et al.
Published: (2025)

FeRG-LLM : Feature Engineering by Reason Generation Large Language Models
by: Ko, Jeonghyun, et al.
Published: (2025)

Mentor-KD: Making Small Language Models Better Multi-step Reasoners
by: Lee, Hojae, et al.
Published: (2024)

Integrated Framework for LLM Evaluation with Answer Generation
by: Lee, Sujeong, et al.
Published: (2025)

OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models
by: Kim, Seunghee, et al.
Published: (2026)

Return of EM: Entity-driven Answer Set Expansion for QA Evaluation
by: Lee, Dongryeol, et al.
Published: (2024)

Modeling Layered Consciousness with Multi-Agent Large Language Models
by: Kim, Sang Hun, et al.
Published: (2025)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

Aligning Large Language Models by On-Policy Self-Judgment
by: Lee, Sangkyu, et al.
Published: (2024)

GRACE: Discriminator-Guided Chain-of-Thought Reasoning
by: Khalifa, Muhammad, et al.
Published: (2023)

AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
by: Lee, Sangjun, et al.
Published: (2025)

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
by: Kim, Jaehyung, et al.
Published: (2024)

Applying Large Language Models and Chain-of-Thought for Automatic Scoring
by: Lee, Gyeong-Geon, et al.
Published: (2023)

EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models
by: Lee, Donggyu, et al.
Published: (2025)

Language-Agnostic Suicidal Risk Detection Using Large Language Models
by: Kim, June-Woo, et al.
Published: (2025)

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
by: Bae, Kyunghoon, et al.
Published: (2025)

Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
by: Ko, Miyoung, et al.
Published: (2024)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions
by: Ishay, Adam, et al.
Published: (2025)

Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
by: Lee, Seongyun, et al.
Published: (2026)

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
by: Lee, Sang-Woo, et al.
Published: (2025)

Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
by: Harris, Lee
Published: (2025)

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
by: Kim, Jeonghoon, et al.
Published: (2025)

Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
by: Choi, ChangSu, et al.
Published: (2024)

FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
by: Jung, Dahyun, et al.
Published: (2025)

Prompt-based Depth Pruning of Large Language Models
by: Wee, Juyun, et al.
Published: (2025)

Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning
by: Oh, Jungsuk, et al.
Published: (2025)

Zero-shot Commonsense Reasoning over Machine Imagination
by: Park, Hyuntae, et al.
Published: (2024)

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
by: Kwon, Taeyoon, et al.
Published: (2023)

EXAONE Deep: Reasoning Enhanced Language Models
by: Bae, Kyunghoon, et al.
Published: (2025)

Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models
by: Kim, Jiyeon, et al.
Published: (2026)

NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
by: Xu, Ancheng, et al.
Published: (2024)

Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
by: Xu, Rongwu, et al.
Published: (2024)