Copertina

Learning from Reasoning Failures via Synthetic Data Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Stan, Gabriela Ben Melech, Aflalo, Estelle, Madasu, Avinash, Lal, Vasudev, Howard, Phillip
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Pruning the Paradox: How CLIP's Most Informative Heads Enhance Performance While Amplifying Bias
di: Madasu, Avinash, et al.
Pubblicazione: (2025)

Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
di: Madasu, Avinash, et al.
Pubblicazione: (2025)

Quantifying and Enabling the Interpretability of CLIP-like Models
di: Madasu, Avinash, et al.
Pubblicazione: (2024)

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models
di: Madasu, Avinash, et al.
Pubblicazione: (2023)

FastRM: An efficient and automatic explainability framework for multimodal generative models
di: Stan, Gabriela Ben-Melech, et al.
Pubblicazione: (2024)

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
di: Yu, Sungduk, et al.
Pubblicazione: (2025)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
di: Yu, Sungduk, et al.
Pubblicazione: (2024)

FiVL: A Framework for Improved Vision-Language Alignment through the Lens of Training, Evaluation and Explainability
di: Aflalo, Estelle, et al.
Pubblicazione: (2024)

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
di: Howard, Phillip, et al.
Pubblicazione: (2023)

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
di: Rosenman, Shachar, et al.
Pubblicazione: (2023)

A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
di: Rohekar, Raanan Y., et al.
Pubblicazione: (2024)

Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning
di: Ratzlaff, Neale, et al.
Pubblicazione: (2024)

Getting it Right: Improving Spatial Consistency in Text-to-Image Models
di: Chatterjee, Agneet, et al.
Pubblicazione: (2024)

Debias your Large Multi-Modal Model at Test-Time via Non-Contrastive Visual Attribute Steering
di: Ratzlaff, Neale, et al.
Pubblicazione: (2024)

DPO Learning with LLMs-Judge Signal for Computer Use Agents
di: Luo, Man, et al.
Pubblicazione: (2025)

LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
di: Stan, Gabriela Ben Melech, et al.
Pubblicazione: (2024)

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
di: Jadon, Aryan, et al.
Pubblicazione: (2025)

Xe-Forge: Multi-Stage LLM-Powered Kernel Optimization for Intel GPU
di: Spoczynski, Marcin, et al.
Pubblicazione: (2026)

Transparent Visual Reasoning via Object-Centric Agent Collaboration
di: Teoh, Benjamin, et al.
Pubblicazione: (2025)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression
di: Kundu, Souvik, et al.
Pubblicazione: (2025)

The EarlyBird Gets the WORM: Heuristically Accelerating EarlyBird Convergence
di: Vasudev, Adithya
Pubblicazione: (2024)

When Informal Text Breaks NLI: Tokenization Failure, Distribution Shift, and Targeted Mitigations
di: Aluguvelly, Avinash Goutham
Pubblicazione: (2026)

GeoFM: Enhancing Geometric Reasoning of MLLMs via Synthetic Data Generation through Formal Language
di: Zhang, Yuhao, et al.
Pubblicazione: (2025)

Reasoning-Driven Synthetic Data Generation and Evaluation
di: Davidson, Tim R., et al.
Pubblicazione: (2026)

Steering Large Language Models to Evaluate and Amplify Creativity
di: Olson, Matthew Lyle, et al.
Pubblicazione: (2024)

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
di: Hinck, Musashi, et al.
Pubblicazione: (2024)

TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data
di: Huang, Xiang, et al.
Pubblicazione: (2024)

Effective and Efficient Jailbreaks of Black-Box LLMs with Cross-Behavior Attacks
di: Gohil, Vasudev
Pubblicazione: (2025)

Object-Centric Case-Based Reasoning via Argumentation
di: Gaul, Gabriel de Olim, et al.
Pubblicazione: (2025)

Learning from Synthetic Data Improves Multi-hop Reasoning
di: Kabra, Anmol, et al.
Pubblicazione: (2026)

Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation
di: He, Linda, et al.
Pubblicazione: (2025)

Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
di: Jayaraman, Srideepika, et al.
Pubblicazione: (2026)

L-MAGIC: Language Model Assisted Generation of Images with Coherence
di: Cai, Zhipeng, et al.
Pubblicazione: (2024)

Socratic-Geo: Synthetic Data Generation and Geometric Reasoning via Multi-Agent Interaction
di: Jiao, Zhengbo, et al.
Pubblicazione: (2026)

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning
di: Xie, Zhe, et al.
Pubblicazione: (2024)

Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
di: Patil, Avinash, et al.
Pubblicazione: (2025)

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms
di: Havrilla, Alex, et al.
Pubblicazione: (2025)

SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training
di: Yang, Hongxu, et al.
Pubblicazione: (2026)

Improving Failure Prediction in Aircraft Fastener Assembly Using Synthetic Data in Imbalanced Datasets
di: Lahr, Gustavo J. G., et al.
Pubblicazione: (2025)

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning
di: Xu, Caijun, et al.
Pubblicazione: (2026)