:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kwon, Soonwoo, Kim, Sojung, Park, Minju, Lee, Seunghyun, Kim, Kyuseok
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2406.03486
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Empowering Personalized Learning through a Conversation-based Tutoring System with Student Modeling
par: Park, Minju, et autres
Publié: (2024)

Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
par: Kwon, Soonwoo, et autres
Publié: (2023)

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
par: Hwang, Yeonjun, et autres
Publié: (2026)

Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
par: Lee, Unggi, et autres
Publié: (2025)

Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game
par: Kim, Byungjun, et autres
Publié: (2024)

Leveraging Large Language Models for Active Merchant Non-player Characters
par: Kim, Byungjun, et autres
Publié: (2024)

MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
par: Macina, Jakub, et autres
Publié: (2025)

A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
par: Choi, Junhyuk, et autres
Publié: (2025)

Revisiting the Uniform Information Density Hypothesis in LLM Reasoning
par: Gwak, Minju, et autres
Publié: (2025)

Revisiting the UID Hypothesis in LLM Reasoning Traces
par: Gwak, Minju, et autres
Publié: (2025)

Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
par: Kochmar, Ekaterina, et autres
Publié: (2025)

Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation
par: Ji, Seunghyun, et autres
Publié: (2024)

Trillion 7B Technical Report
par: Han, Sungjun, et autres
Publié: (2025)

Talk in Pieces, See in Whole: Disentangling and Hierarchical Aggregating Representations for Language-based Object Detection
par: An, Sojung, et autres
Publié: (2025)

Position: LLMs Can be Good Tutors in English Education
par: Ye, Jingheng, et autres
Publié: (2025)

Assessing LLM Reasoning Steps via Principal Knowledge Grounding
par: Hwang, Hyeon, et autres
Publié: (2025)

Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
par: Naim, Jannatun, et autres
Publié: (2025)

Program Synthesis via Test-Time Transduction
par: Lee, Kang-il, et autres
Publié: (2025)

VLind-Bench: Measuring Language Priors in Large Vision-Language Models
par: Lee, Kang-il, et autres
Publié: (2024)

Design of reliable technology valuation model with calibrated machine learning of patent indicators
par: Lee, Seunghyun, et autres
Publié: (2024)

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
par: Yang, Nakyeong, et autres
Publié: (2025)

Confidence Regularized Masked Language Modeling using Text Length
par: Ji, Seunghyun, et autres
Publié: (2025)

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
par: An, Hyunjn, et autres
Publié: (2025)

The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
par: Lee, Seongyun, et autres
Publié: (2025)

Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
par: Kim, Hyeonwoo, et autres
Publié: (2024)

Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum
par: Acharya, Pratyush, et autres
Publié: (2026)

Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use
par: Fateen, Menna, et autres
Publié: (2024)

DeepTutor: Towards Agentic Personalized Tutoring
par: Zhao, Bingxi, et autres
Publié: (2026)

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
par: Kim, Wonjoong, et autres
Publié: (2025)

Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
par: Lee, Seongyun, et autres
Publié: (2026)

Adapting Text-based Dialogue State Tracker for Spoken Dialogues
par: Yoon, Jaeseok, et autres
Publié: (2023)

Evaluating Multimodal Generative AI with Korean Educational Standards
par: Park, Sanghee, et autres
Publié: (2025)

Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark
par: Park, Chanjun, et autres
Publié: (2024)

SLM as Guardian: Pioneering AI Safety with Small Language Models
par: Kwon, Ohjoon, et autres
Publié: (2024)

SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
par: Yoon, Kanghoon, et autres
Publié: (2025)

Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
par: Park, Hyunbyung, et autres
Publié: (2024)

Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
par: Lee, Jemin, et autres
Publié: (2024)

Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments
par: Kwon, Soonwoo, et autres
Publié: (2025)

Question-to-Knowledge (Q2K): Multi-Agent Generation of Inspectable Facts for Product Mapping
par: Seo, Wonduk, et autres
Publié: (2025)

When Is Enough Not Enough? Illusory Completion in Search Agents
par: Ko, Dayoon, et autres
Publié: (2026)