Copertina

Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang-Li, Daniel, Zhang, Zheyuan, Yu, Jifan, Yin, Joy Lim Jia, Tu, Shangqing, Gong, Linlu, Wang, Haohua, Liu, Zhiyuan, Liu, Huiqin, Hou, Lei, Li, Juanzi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning
di: Yin, Joy Lim Jia, et al.
Pubblicazione: (2025)

Simulating Classroom Education with LLM-Empowered Agents
di: Zhang, Zheyuan, et al.
Pubblicazione: (2024)

MAIC-UI: Making Interactive Courseware with Generative UI
di: Tu, Shangqing, et al.
Pubblicazione: (2026)

LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models
di: Tu, Shangqing, et al.
Pubblicazione: (2025)

ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time
di: Tu, Shangqing, et al.
Pubblicazione: (2023)

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
di: Tu, Shangqing, et al.
Pubblicazione: (2023)

Learning in Context: Personalizing Educational Content with Large Language Models to Enhance Student Learning
di: Lim, Joy Jia Yin, et al.
Pubblicazione: (2025)

Personalized Learning Path Planning with Goal-Driven Learner State Modeling
di: Lim, Joy Jia Yin, et al.
Pubblicazione: (2025)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
di: Tu, Shangqing, et al.
Pubblicazione: (2024)

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models
di: Tu, Shangqing, et al.
Pubblicazione: (2024)

Handling Students Dropouts in an LLM-driven Interactive Online Course Using Language Models
di: Wang, Yuanchun, et al.
Pubblicazione: (2025)

DeepPrune: Parallel Scaling without Inter-trace Redundancy
di: Tu, Shangqing, et al.
Pubblicazione: (2025)

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents
di: Yu, Jifan, et al.
Pubblicazione: (2024)

Explainable Few-shot Knowledge Tracing
di: Li, Haoxuan, et al.
Pubblicazione: (2024)

DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math Reasoning
di: Tu, Shangqing, et al.
Pubblicazione: (2024)

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
di: Zhu, Kejian, et al.
Pubblicazione: (2025)

Reverse That Number! Decoding Order Matters in Arithmetic Learning
di: Zhang-Li, Daniel, et al.
Pubblicazione: (2024)

KoLA: Carefully Benchmarking World Knowledge of Large Language Models
di: Yu, Jifan, et al.
Pubblicazione: (2023)

Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models
di: Liu, Yantao, et al.
Pubblicazione: (2024)

Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
di: Fan, Yuchen, et al.
Pubblicazione: (2024)

A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
di: Yu, Jifan, et al.
Pubblicazione: (2024)

Which Type of Students can LLMs Act? Investigating Authentic Simulation with Graph-based Human-AI Collaborative System
di: Li, Haoxuan, et al.
Pubblicazione: (2025)

MM-THEBench: Do Reasoning MLLMs Think Reasonably?
di: Huang, Zhidian, et al.
Pubblicazione: (2026)

Addressing Situated Teaching Needs: A Multi-Agent Framework for Automated Slide Adaptation
di: Liu, Binglin, et al.
Pubblicazione: (2025)

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
di: Qi, Ji, et al.
Pubblicazione: (2023)

VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
di: Qi, Ji, et al.
Pubblicazione: (2023)

Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking
di: Zhang, Xiaokang, et al.
Pubblicazione: (2024)

SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking
di: Wang, Yuanchun, et al.
Pubblicazione: (2024)

Student-AI Interaction in an LLM-Empowered Learning Environment: A Cluster Analysis of Engagement Profiles
di: Hao, Zhanxin, et al.
Pubblicazione: (2025)

KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
di: Zhang, Jiajie, et al.
Pubblicazione: (2024)

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
di: Lee, Zhicheng, et al.
Pubblicazione: (2025)

AI instructional agent improves student's perceived learner control and learning outcome: empirical evidence from a randomized controlled trial
di: Qin, Fei, et al.
Pubblicazione: (2025)

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
di: Liu, Jinxin, et al.
Pubblicazione: (2024)

Mapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps
di: Hao, Zhanxin, et al.
Pubblicazione: (2025)

AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
di: Xin, Amy, et al.
Pubblicazione: (2024)

Shifting Long-Context LLMs Research from Input to Output
di: Wu, Yuhao, et al.
Pubblicazione: (2025)

Aligning Teacher with Student Preferences for Tailored Training Data Generation
di: Liu, Yantao, et al.
Pubblicazione: (2024)

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
di: Bai, Yushi, et al.
Pubblicazione: (2024)

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
di: Lin, Nianyi, et al.
Pubblicazione: (2025)

The Dialogue That Heals: A Comprehensive Evaluation of Doctor Agents' Inquiry Capability
di: Gong, Linlu, et al.
Pubblicazione: (2025)