Saved in:
| Main Authors: | Kwon, Soonwoo, Kim, Sojung, Park, Minju, Lee, Seunghyun, Kim, Kyuseok |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.03486 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Empowering Personalized Learning through a Conversation-based Tutoring System with Student Modeling
by: Park, Minju, et al.
Published: (2024)
by: Park, Minju, et al.
Published: (2024)
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
by: Kwon, Soonwoo, et al.
Published: (2023)
by: Kwon, Soonwoo, et al.
Published: (2023)
CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
by: Hwang, Yeonjun, et al.
Published: (2026)
by: Hwang, Yeonjun, et al.
Published: (2026)
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
by: Lee, Unggi, et al.
Published: (2025)
by: Lee, Unggi, et al.
Published: (2025)
Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game
by: Kim, Byungjun, et al.
Published: (2024)
by: Kim, Byungjun, et al.
Published: (2024)
Leveraging Large Language Models for Active Merchant Non-player Characters
by: Kim, Byungjun, et al.
Published: (2024)
by: Kim, Byungjun, et al.
Published: (2024)
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
by: Macina, Jakub, et al.
Published: (2025)
by: Macina, Jakub, et al.
Published: (2025)
A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
by: Choi, Junhyuk, et al.
Published: (2025)
by: Choi, Junhyuk, et al.
Published: (2025)
Revisiting the Uniform Information Density Hypothesis in LLM Reasoning
by: Gwak, Minju, et al.
Published: (2025)
by: Gwak, Minju, et al.
Published: (2025)
Revisiting the UID Hypothesis in LLM Reasoning Traces
by: Gwak, Minju, et al.
Published: (2025)
by: Gwak, Minju, et al.
Published: (2025)
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
by: Kochmar, Ekaterina, et al.
Published: (2025)
by: Kochmar, Ekaterina, et al.
Published: (2025)
Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation
by: Ji, Seunghyun, et al.
Published: (2024)
by: Ji, Seunghyun, et al.
Published: (2024)
Trillion 7B Technical Report
by: Han, Sungjun, et al.
Published: (2025)
by: Han, Sungjun, et al.
Published: (2025)
Talk in Pieces, See in Whole: Disentangling and Hierarchical Aggregating Representations for Language-based Object Detection
by: An, Sojung, et al.
Published: (2025)
by: An, Sojung, et al.
Published: (2025)
Position: LLMs Can be Good Tutors in English Education
by: Ye, Jingheng, et al.
Published: (2025)
by: Ye, Jingheng, et al.
Published: (2025)
Assessing LLM Reasoning Steps via Principal Knowledge Grounding
by: Hwang, Hyeon, et al.
Published: (2025)
by: Hwang, Hyeon, et al.
Published: (2025)
Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
by: Naim, Jannatun, et al.
Published: (2025)
by: Naim, Jannatun, et al.
Published: (2025)
Program Synthesis via Test-Time Transduction
by: Lee, Kang-il, et al.
Published: (2025)
by: Lee, Kang-il, et al.
Published: (2025)
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
by: Lee, Kang-il, et al.
Published: (2024)
by: Lee, Kang-il, et al.
Published: (2024)
Design of reliable technology valuation model with calibrated machine learning of patent indicators
by: Lee, Seunghyun, et al.
Published: (2024)
by: Lee, Seunghyun, et al.
Published: (2024)
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
by: Yang, Nakyeong, et al.
Published: (2025)
by: Yang, Nakyeong, et al.
Published: (2025)
Confidence Regularized Masked Language Modeling using Text Length
by: Ji, Seunghyun, et al.
Published: (2025)
by: Ji, Seunghyun, et al.
Published: (2025)
AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
by: An, Hyunjn, et al.
Published: (2025)
by: An, Hyunjn, et al.
Published: (2025)
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
by: Lee, Seongyun, et al.
Published: (2025)
by: Lee, Seongyun, et al.
Published: (2025)
Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
by: Kim, Hyeonwoo, et al.
Published: (2024)
by: Kim, Hyeonwoo, et al.
Published: (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
by: Acharya, Pratyush, et al.
Published: (2026)
by: Acharya, Pratyush, et al.
Published: (2026)
Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use
by: Fateen, Menna, et al.
Published: (2024)
by: Fateen, Menna, et al.
Published: (2024)
DeepTutor: Towards Agentic Personalized Tutoring
by: Zhao, Bingxi, et al.
Published: (2026)
by: Zhao, Bingxi, et al.
Published: (2026)
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
by: Kim, Wonjoong, et al.
Published: (2025)
by: Kim, Wonjoong, et al.
Published: (2025)
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
by: Lee, Seongyun, et al.
Published: (2026)
by: Lee, Seongyun, et al.
Published: (2026)
Adapting Text-based Dialogue State Tracker for Spoken Dialogues
by: Yoon, Jaeseok, et al.
Published: (2023)
by: Yoon, Jaeseok, et al.
Published: (2023)
Evaluating Multimodal Generative AI with Korean Educational Standards
by: Park, Sanghee, et al.
Published: (2025)
by: Park, Sanghee, et al.
Published: (2025)
Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark
by: Park, Chanjun, et al.
Published: (2024)
by: Park, Chanjun, et al.
Published: (2024)
SLM as Guardian: Pioneering AI Safety with Small Language Models
by: Kwon, Ohjoon, et al.
Published: (2024)
by: Kwon, Ohjoon, et al.
Published: (2024)
SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
by: Yoon, Kanghoon, et al.
Published: (2025)
by: Yoon, Kanghoon, et al.
Published: (2025)
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
by: Park, Hyunbyung, et al.
Published: (2024)
by: Park, Hyunbyung, et al.
Published: (2024)
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
by: Lee, Jemin, et al.
Published: (2024)
by: Lee, Jemin, et al.
Published: (2024)
Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments
by: Kwon, Soonwoo, et al.
Published: (2025)
by: Kwon, Soonwoo, et al.
Published: (2025)
Question-to-Knowledge (Q2K): Multi-Agent Generation of Inspectable Facts for Product Mapping
by: Seo, Wonduk, et al.
Published: (2025)
by: Seo, Wonduk, et al.
Published: (2025)
When Is Enough Not Enough? Illusory Completion in Search Agents
by: Ko, Dayoon, et al.
Published: (2026)
by: Ko, Dayoon, et al.
Published: (2026)
Similar Items
-
Empowering Personalized Learning through a Conversation-based Tutoring System with Student Modeling
by: Park, Minju, et al.
Published: (2024) -
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
by: Kwon, Soonwoo, et al.
Published: (2023) -
CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
by: Hwang, Yeonjun, et al.
Published: (2026) -
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
by: Lee, Unggi, et al.
Published: (2025) -
Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game
by: Kim, Byungjun, et al.
Published: (2024)