Copertina

TeachLM: Post-Training LLMs for Education Using Authentic Learning Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Perczel, Janos, Chow, Jin, Demszky, Dorottya
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Edu-ConvoKit: An Open-Source Library for Education Conversation Data
di: Wang, Rose E., et al.
Pubblicazione: (2024)

Mitigating LLM biases toward spurious social contexts using direct preference optimization
di: Nam, Hyunji, et al.
Pubblicazione: (2026)

Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI
di: Demszky, Dorottya, et al.
Pubblicazione: (2026)

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations
di: Wang, Rose E., et al.
Pubblicazione: (2024)

Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes
di: Wang, Rose E., et al.
Pubblicazione: (2023)

Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings
di: Attia, Ahmed Adel, et al.
Pubblicazione: (2024)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
di: Tang, Shuo, et al.
Pubblicazione: (2024)

PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator
di: Kong, Chuyi, et al.
Pubblicazione: (2023)

What Is The Political Content in LLMs' Pre- and Post-Training Data?
di: Ceron, Tanise, et al.
Pubblicazione: (2025)

Visual Reasoning Benchmark: Evaluating Multimodal LLMs on Classroom-Authentic Visual Problems from Primary Education
di: Huti, Mohamed, et al.
Pubblicazione: (2026)

Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
di: Li, Mingjie, et al.
Pubblicazione: (2026)

From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents
di: Gao, Jiaxuan, et al.
Pubblicazione: (2026)

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
di: Zhang, Jin, et al.
Pubblicazione: (2025)

TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise
di: He, Nan, et al.
Pubblicazione: (2023)

Retracing the Past: LLMs Emit Training Data When They Get Lost
di: Ko, Myeongseob, et al.
Pubblicazione: (2025)

ArXiv-to-Model: A Practical Study of Scientific LM Training
di: Gupta, Anuj
Pubblicazione: (2026)

Marked Pedagogies: Examining Linguistic Biases in Personalized Automated Writing Feedback
di: Tan, Mei, et al.
Pubblicazione: (2026)

BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs
di: Boizard, Nicolas, et al.
Pubblicazione: (2026)

Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
di: Djuhera, Aladin, et al.
Pubblicazione: (2025)

Can Post-Training Transform LLMs into Causal Reasoners?
di: Chen, Junqi, et al.
Pubblicazione: (2026)

KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
di: Xu, Hongling, et al.
Pubblicazione: (2025)

EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training
di: Dorkin, Aleksei, et al.
Pubblicazione: (2026)

Demographic Attributes Prediction from Speech Using WavLM Embeddings
di: Yang, Yuchen, et al.
Pubblicazione: (2025)

LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
di: Hu, Yuxuan, et al.
Pubblicazione: (2025)

CodecLM: Aligning Language Models with Tailored Synthetic Data
di: Wang, Zifeng, et al.
Pubblicazione: (2024)

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
di: Ning, Xuefei, et al.
Pubblicazione: (2024)

Measuring Teaching with LLMs
di: Hardy, Michael
Pubblicazione: (2025)

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
di: Huang, Wei, et al.
Pubblicazione: (2024)

Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language
di: Chen, Xi, et al.
Pubblicazione: (2025)

Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
di: Li, Yangning, et al.
Pubblicazione: (2025)

Foundation CAN LM: A Pretrained Language Model For Automotive CAN Data
di: Esashi, Akiharu, et al.
Pubblicazione: (2026)

An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification
di: Chen, Zhuowei, et al.
Pubblicazione: (2024)

EvoLM: In Search of Lost Language Model Training Dynamics
di: Qi, Zhenting, et al.
Pubblicazione: (2025)

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
di: Bolton, Elliot, et al.
Pubblicazione: (2024)

Xmodel-LM Technical Report
di: Wang, Yichuan, et al.
Pubblicazione: (2024)

SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
di: Liu, Qin, et al.
Pubblicazione: (2024)

PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
di: Pham, Hung Manh, et al.
Pubblicazione: (2026)

REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning
di: Qureshi, Rameez, et al.
Pubblicazione: (2024)

Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
di: Liu, Yixin, et al.
Pubblicazione: (2026)

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs
di: Kim, Minsang, et al.
Pubblicazione: (2025)