Imagen de Portada

Autograder+: A Multi-Faceted AI Framework for Rich Pedagogical Feedback in Programming Education

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sahu, Vikrant, Gupta, Gagan Raj, Borikar, Raghav, Mane, Nitin
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology
por: Vissapragada, Sandeep, et al.
Publicado: (2025)

When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
por: Raj, Bharath, et al.
Publicado: (2024)

AdaGradSelect: An adaptive gradient-guided layer selection method for efficient fine-tuning of SLMs
por: Kumar, Anshul, et al.
Publicado: (2025)

The Triangle of Similarity: A Multi-Faceted Framework for Comparing Neural Network Representations
por: Sirikova, Olha, et al.
Publicado: (2026)

Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning
por: Song, Siyu, et al.
Publicado: (2025)

Adaptive and Explainable AI Agents for Anomaly Detection in Critical IoT Infrastructure using LLM-Enhanced Contextual Reasoning
por: Sharma, Raghav, et al.
Publicado: (2025)

Gemstones: A Model Suite for Multi-Faceted Scaling Laws
por: McLeish, Sean, et al.
Publicado: (2025)

InteractiveGNNExplainer: A Visual Analytics Framework for Multi-Faceted Understanding and Probing of Graph Neural Network Predictions
por: Singh, TC, et al.
Publicado: (2025)

The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering
por: He, Zhangying, et al.
Publicado: (2024)

GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks
por: Li, Yanli, et al.
Publicado: (2025)

A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies
por: Islam, Md Mirajul, et al.
Publicado: (2024)

A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies
por: Islam, Md Mirajul, et al.
Publicado: (2026)

HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
por: Gupta, Shubham, et al.
Publicado: (2026)

A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models
por: Yuan, Yefeng, et al.
Publicado: (2024)

A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
por: Kim, Kihyun, et al.
Publicado: (2024)

Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
por: Sharma, Raghav, et al.
Publicado: (2025)

ICE-T: A Multi-Faceted Concept for Teaching Machine Learning
por: Krone, Hendrik, et al.
Publicado: (2024)

Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
por: Naim, Jannatun, et al.
Publicado: (2025)

Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
por: Cheng, Ching-An, et al.
Publicado: (2024)

Optimistic Policy Regularization
por: Pham, Mai, et al.
Publicado: (2026)

Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
por: Shahbandari, Lida, et al.
Publicado: (2024)

Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback
por: Anand, Avinash, et al.
Publicado: (2024)

Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking
por: Su, Runze, et al.
Publicado: (2025)

Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces
por: Gupta, Karan, et al.
Publicado: (2026)

Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies
por: Gupta, Nitin, et al.
Publicado: (2025)

CXMArena: Unified Dataset to benchmark performance in realistic CXM Scenarios
por: Garg, Raghav, et al.
Publicado: (2025)

Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
por: Kotalwar, Nachiket, et al.
Publicado: (2024)

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation
por: Vetcha, Nitin, et al.
Publicado: (2026)

Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
por: Chavan, Arnav, et al.
Publicado: (2024)

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
por: Farquhar, Sebastian, et al.
Publicado: (2025)

Alignment For Performance Improvement in Conversation Bots
por: Garg, Raghav, et al.
Publicado: (2024)

Federated Learning Framework via Distributed Mutual Learning
por: Gupta, Yash
Publicado: (2025)

Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables
por: Sahu, Nilesh Kumar, et al.
Publicado: (2025)

Knowledge Grafting: A Mechanism for Optimizing AI Model Deployment in Resource-Constrained Environments
por: Almurshed, Osama, et al.
Publicado: (2025)

Scaling Laws and In-Context Learning: A Unified Theoretical Framework
por: Mehta, Sushant, et al.
Publicado: (2025)

Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback
por: Afsharrad, Amirhossein, et al.
Publicado: (2026)

A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes and its Implementation in BEACON
por: Nagpal, Vansh, et al.
Publicado: (2024)

Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
por: Sakhinana, Sagar Srinivas, et al.
Publicado: (2024)

UltraFeedback: Boosting Language Models with Scaled AI Feedback
por: Cui, Ganqu, et al.
Publicado: (2023)

Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning
por: Wang, Kaiwen, et al.
Publicado: (2024)