Cover Image

Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Apartsin, Alexander, Sason, Omri, Aperstein, Yehudit
Format:	Preprint
Published:	2026
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

A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
by: Aperstein, Yehudit, et al.
Published: (2026)

SeaAlert: Critical Information Extraction From Maritime Distress Communications with Large Language Models
by: Atia, Tomer, et al.
Published: (2026)

Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline
by: Laufer, Michal, et al.
Published: (2026)

IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences
by: Aperstein, Yehudit, et al.
Published: (2026)

From Joy to Fear: A Benchmark of Emotion Estimation in Pop Song Lyrics
by: Dahary, Shay, et al.
Published: (2025)

LLM-guided headline rewriting for clickability enhancement without clickbait
by: Aperstein, Yehudit, et al.
Published: (2026)

DGLD: Domain-Gated Latent Diffusion for the Discovery of Novel Energetic Materials
by: Aperstein, Yehudit, et al.
Published: (2026)

Acting on the Unseen: Communication-Free Collaborative Filtering for Decentralized Multi-Robot Task Allocation
by: Apartsin, Alexander, et al.
Published: (2026)

From Fuzzy Speech to Medical Insight: Benchmarking LLMs on Noisy Patient Narratives
by: Mama, Eden, et al.
Published: (2025)

Reading Between the Lines: Classifying Resume Seniority with Large Language Models
by: Cohen, Matan, et al.
Published: (2025)

Mapping License Plate Recoverability Under Extreme Viewing Angles for Oppor-tunistic Urban Sensing
by: Adamenko, Igor, et al.
Published: (2026)

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant
by: Bolshinsky, Inbal, et al.
Published: (2025)

An Interpretable Benchmark for Clickbait Detection and Tactic Attribution
by: Nofar, Lihi, et al.
Published: (2025)

CalexNet: Soft Cascade-Aligned Training and Calibration for Lightweight Early-Exit Branches
by: Aperstein, Yehudit, et al.
Published: (2025)

When Curiosity Signals Danger: Predicting Health Crises Through Online Medication Inquiries
by: Goncharok, Dvora, et al.
Published: (2025)

Explainable Semantic Text Relations: A Question-Answering Framework for Comparing Document Content
by: Aperstein, Yehudit, et al.
Published: (2025)

Code Review Without Borders: Evaluating Synthetic vs. Real Data for Review Recommendation
by: Cohen, Yogev, et al.
Published: (2025)

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
by: Lahiany, Assaf, et al.
Published: (2025)

Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
by: Geng, Yilin, et al.
Published: (2025)

Measuring Pragmatic Influence in Large Language Model Instructions
by: Geng, Yilin, et al.
Published: (2026)

Stitching the Story: Creating Panoramic Incident Summaries from Body-Worn Footage
by: Cohen, Dor, et al.
Published: (2025)

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
by: Goren, Yaniv, et al.
Published: (2025)

Towards a Benchmark for Large Language Models for Business Process Management Tasks
by: Busch, Kiran, et al.
Published: (2024)

CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models
by: Wagner, Eitan, et al.
Published: (2024)

LTLBench: Towards Benchmarks for Evaluating Temporal Reasoning in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024)

Generating Benchmarks for Factuality Evaluation of Language Models
by: Muhlgay, Dor, et al.
Published: (2023)

The Imperfect Learner: Incorporating Developmental Trajectories in Memory-based Student Simulation
by: Liu, Zhengyuan, et al.
Published: (2025)

Exploring the Learning Capabilities of Language Models using LEVERWORLDS
by: Wagner, Eitan, et al.
Published: (2024)

Codenames as a Benchmark for Large Language Models
by: Stephenson, Matthew, et al.
Published: (2024)

Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary
by: Tao, Meiling, et al.
Published: (2024)

Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models
by: Ball, Sarah, et al.
Published: (2025)

Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models
by: Tuan, Yi-Lin, et al.
Published: (2024)

Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models
by: Zhong, Chengzhi, et al.
Published: (2025)

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)

Benchmarking Distributional Alignment of Large Language Models
by: Meister, Nicole, et al.
Published: (2024)

Benchmarking the Pedagogical Knowledge of Large Language Models
by: Lelièvre, Maxime, et al.
Published: (2025)

Large Language Model Benchmarks in Medical Tasks
by: Yan, Lawrence K. Q., et al.
Published: (2024)

BELL: Benchmarking the Explainability of Large Language Models
by: Ahmed, Syed Quiser, et al.
Published: (2025)

Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming
by: Nguyen, Manh Hung, et al.
Published: (2023)

Express Your Doubts -- Probabilistic World Modeling Should not be Based on Token logprobs
by: Wagner, Eitan, et al.
Published: (2025)