Saved in:
| Main Authors: | Ozyurt, Yilmazcan, Almaci, Tunaberk, Feuerriegel, Stefan, Sachan, Mrinmaya |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.11060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
by: Ozyurt, Yilmazcan, et al.
Published: (2024)
by: Ozyurt, Yilmazcan, et al.
Published: (2024)
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
by: Ozyurt, Yilmazcan, et al.
Published: (2023)
by: Ozyurt, Yilmazcan, et al.
Published: (2023)
SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning
by: Adarsh, Shivam, et al.
Published: (2024)
by: Adarsh, Shivam, et al.
Published: (2024)
Probing for Arithmetic Errors in Language Models
by: Sun, Yucheng, et al.
Published: (2025)
by: Sun, Yucheng, et al.
Published: (2025)
Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
by: He, Paul, et al.
Published: (2026)
by: He, Paul, et al.
Published: (2026)
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
by: Do, Heejin, et al.
Published: (2026)
by: Do, Heejin, et al.
Published: (2026)
Variational Classification
by: Dhuliawala, Shehzaad, et al.
Published: (2023)
by: Dhuliawala, Shehzaad, et al.
Published: (2023)
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading
by: Cui, Peng, et al.
Published: (2024)
by: Cui, Peng, et al.
Published: (2024)
Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)
by: Simko, Samuel, et al.
Published: (2025)
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
by: Rooein, Donya, et al.
Published: (2026)
by: Rooein, Donya, et al.
Published: (2026)
Fluid Representations in Reasoning Models
by: Kharlapenko, Dmitrii, et al.
Published: (2026)
by: Kharlapenko, Dmitrii, et al.
Published: (2026)
Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024)
by: Lloret, Saüc Abadal, et al.
Published: (2024)
Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning
by: Wang, Yucheng, et al.
Published: (2025)
by: Wang, Yucheng, et al.
Published: (2025)
SMART: Self-learning Meta-strategy Agent for Reasoning Tasks
by: Liu, Rongxing, et al.
Published: (2024)
by: Liu, Rongxing, et al.
Published: (2024)
Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
by: Wang, Junling, et al.
Published: (2025)
by: Wang, Junling, et al.
Published: (2025)
Can Vision-Language Models Solve Visual Math Equations?
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
Multilingual Performance Biases of Large Language Models in Education
by: Gupta, Vansh, et al.
Published: (2025)
by: Gupta, Vansh, et al.
Published: (2025)
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)
by: Daheim, Nico, et al.
Published: (2024)
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
by: Rashiti, Gentiana, et al.
Published: (2024)
by: Rashiti, Gentiana, et al.
Published: (2024)
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
by: Shi, Minjing, et al.
Published: (2026)
by: Shi, Minjing, et al.
Published: (2026)
Chimera: Diagnosing Shortcut Learning in Visual-Language Understanding
by: Chi, Ziheng, et al.
Published: (2025)
by: Chi, Ziheng, et al.
Published: (2025)
On the Emergence of Induction Heads for In-Context Learning
by: Musat, Tiberiu, et al.
Published: (2025)
by: Musat, Tiberiu, et al.
Published: (2025)
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Post-Training Language Models for Crosslingual Consistency
by: Liu, Tianyu, et al.
Published: (2026)
by: Liu, Tianyu, et al.
Published: (2026)
Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)
by: Jin, Zhijing, et al.
Published: (2024)
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
by: Dinucu-Jianu, David, et al.
Published: (2025)
by: Dinucu-Jianu, David, et al.
Published: (2025)
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
by: Piedrahita, David Guzman, et al.
Published: (2025)
by: Piedrahita, David Guzman, et al.
Published: (2025)
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)
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)
by: Jenny, David F., et al.
Published: (2023)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders
by: Banerjee, Ashmi, et al.
Published: (2025)
by: Banerjee, Ashmi, et al.
Published: (2025)
Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation
by: Zengaffinen, Yanick, et al.
Published: (2026)
by: Zengaffinen, Yanick, et al.
Published: (2026)
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
by: Lalwani, Abhinav, et al.
Published: (2024)
by: Lalwani, Abhinav, et al.
Published: (2024)
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
by: Brockschmidt, Marie, et al.
Published: (2025)
by: Brockschmidt, Marie, et al.
Published: (2025)
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
by: Melnychuk, Valentyn, et al.
Published: (2023)
by: Melnychuk, Valentyn, et al.
Published: (2023)
Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing
by: Wang, Shanshan, et al.
Published: (2024)
by: Wang, Shanshan, et al.
Published: (2024)
Dense SAE Latents Are Features, Not Bugs
by: Sun, Xiaoqing, et al.
Published: (2025)
by: Sun, Xiaoqing, et al.
Published: (2025)
Similar Items
-
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
by: Ozyurt, Yilmazcan, et al.
Published: (2024) -
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
by: Ozyurt, Yilmazcan, et al.
Published: (2023) -
SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning
by: Adarsh, Shivam, et al.
Published: (2024) -
Probing for Arithmetic Errors in Language Models
by: Sun, Yucheng, et al.
Published: (2025) -
Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
by: He, Paul, et al.
Published: (2026)