Copertina

LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ganguly, Debargha, Kumar, Sumit, Balappanawar, Ishwar, Chen, Weicong, Kambhatla, Shashank, Iyengar, Srinivasan, Kalyanaraman, Shivkumar, Kumaraguru, Ponnurangam, Chaudhary, Vipin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning
di: Ganguly, Debargha, et al.
Pubblicazione: (2024)

SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models
di: Mishra, Aditya, et al.
Pubblicazione: (2025)

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks
di: Ganguly, Debargha, et al.
Pubblicazione: (2025)

An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions
di: Gowaikar, Shreeyash, et al.
Pubblicazione: (2024)

Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
di: Ganguly, Debargha, et al.
Pubblicazione: (2024)

$K^4$: Online Log Anomaly Detection Via Unsupervised Typicality Learning
di: Chen, Weicong, et al.
Pubblicazione: (2025)

Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual Worlds
di: Joishy, Anish R, et al.
Pubblicazione: (2025)

Towards Infusing Auxiliary Knowledge for Distracted Driver Detection
di: Balappanawar, Ishwar B, et al.
Pubblicazione: (2024)

Forte : Finding Outliers with Representation Typicality Estimation
di: Ganguly, Debargha, et al.
Pubblicazione: (2024)

A Practical Exercise in Adapting SIFT Using FHE Primitives
di: Balappanawar, Ishwar B, et al.
Pubblicazione: (2024)

Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification
di: Singh, Vikash, et al.
Pubblicazione: (2026)

Efficient Fine-Grained GPU Performance Modeling for Distributed Deep Learning of LLM
di: Zhang, Biyao, et al.
Pubblicazione: (2025)

Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
di: Kodali, Prashant, et al.
Pubblicazione: (2025)

LLM Vocabulary Compression for Low-Compute Environments
di: Vennam, Sreeram, et al.
Pubblicazione: (2024)

Trust The Typical
di: Ganguly, Debargha, et al.
Pubblicazione: (2026)

AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments
di: Yang, Wang, et al.
Pubblicazione: (2026)

Personal Narratives Empower Politically Disinclined Individuals to Engage in Political Discussions
di: Chebrolu, Tejasvi, et al.
Pubblicazione: (2025)

Long-context Non-factoid Question Answering in Indic Languages
di: Mishra, Ritwik, et al.
Pubblicazione: (2025)

Context Determines Optimal Architecture in Materials Segmentation
di: Lu, Mingjian, et al.
Pubblicazione: (2026)

MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
di: Bhattacharya, Rishabh, et al.
Pubblicazione: (2025)

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers
di: Yang, Wang, et al.
Pubblicazione: (2026)

Analyzing Patterns and Influence of Advertising in Print Newspapers
di: Vardhan, N Harsha, et al.
Pubblicazione: (2025)

Sometimes the Model doth Preach: Quantifying Religious Bias in Open LLMs through Demographic Analysis in Asian Nations
di: Shankar, Hari, et al.
Pubblicazione: (2025)

SEMMA: A Semantic Aware Knowledge Graph Foundation Model
di: Arun, Arvindh, et al.
Pubblicazione: (2025)

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron
di: Reddy, Tella Rajashekhar, et al.
Pubblicazione: (2025)

Rethinking Vision Transformer Depth via Structural Reparameterization
di: Zhou, Chengwei, et al.
Pubblicazione: (2025)

Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
di: Sinha, Shiven, et al.
Pubblicazione: (2024)

Rethinking Thinking Tokens: Understanding Why They Underperform in Practice
di: Vennam, Sreeram, et al.
Pubblicazione: (2024)

Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data
di: Khatri, Mann, et al.
Pubblicazione: (2025)

Measuring Moral Inconsistencies in Large Language Models
di: Bonagiri, Vamshi Krishna, et al.
Pubblicazione: (2024)

Multilingual Coreference Resolution in Low-resource South Asian Languages
di: Mishra, Ritwik, et al.
Pubblicazione: (2024)

I Can't Believe It's Corrupt: Evaluating Corruption in Multi-Agent Governance Systems
di: P, Vedanta S, et al.
Pubblicazione: (2026)

Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
di: Garg, Rahul, et al.
Pubblicazione: (2024)

Mind the Gap: Pitfalls of LLM Alignment with Asian Public Opinion
di: Shankar, Hari, et al.
Pubblicazione: (2026)

Real Time Deep Learning Weapon Detection Techniques for Mitigating Lone Wolf Attacks
di: Akhila, Kambhatla, et al.
Pubblicazione: (2024)

Communicating about Space: Language-Mediated Spatial Integration Across Partial Views
di: Sikarwar, Ankur, et al.
Pubblicazione: (2026)

What if I ask in \textit{alia lingua}? Measuring Functional Similarity Across Languages
di: Mishra, Debangan, et al.
Pubblicazione: (2025)

PrivacyBench: A Conversational Benchmark for Evaluating Privacy in Personalized AI
di: Mukhopadhyay, Srija, et al.
Pubblicazione: (2025)

Enhancing AI Safety Through the Fusion of Low Rank Adapters
di: Gudipudi, Satya Swaroop, et al.
Pubblicazione: (2024)

Representation Surgery: Theory and Practice of Affine Steering
di: Singh, Shashwat, et al.
Pubblicazione: (2024)