11 papers
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery
Anushree Sinha, Srivaths Ranganathan, Abhishek Dharmaratnakar +1
Autonomous Large Language Model (LLM) agents are increasingly deployed in electronic discovery (e-discovery), where compounding errors across multi-step reasoning chains can consti…
Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey
Jonghyun Chung, Rishabh Chaddha, Sanket Badhe +3
The proliferation of adversarial synthetic content, accelerated by Generative AI (GenAI) is rendering traditional reactive detection methods ineffective. This survey synthesizes em…
Assessing the Operational Viability of Foundation Models for Time Series Forecasting
Kavin Soni, Debanshu Das, Vamshi Guduguntla
Time series forecasting drives operational decisions in areas like finance, transportation, and energy. While supervised learning approaches achieve strong performance, they requir…
Genflow Ad Studio: A Compound AI Architecture for Brand-Aligned, Self-Correcting Video Generation
Debanshu Das, Lavi Nigam, Sunil Kumar Jang Bahadur +1
Recent advancements in generative video models demonstrate high visual fidelity, yet their integration into enterprise environments is restricted by temporal inconsistencies and se…
Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets
Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer +17
Croissant has emerged as the metadata standard for machine learning datasets, providing a structured, JSON-LD-based format that makes dataset discovery, automated ingestion, and re…
Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction
Abhishek Dharmaratnakar, Srivaths Ranganathan, Anushree Sinha +1
At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health solutions rely on static, pre-record…
Beyond Fluency: Toward Reliable Trajectories in Agentic IR
Anushree Sinha, Srivaths Ranganathan, Debanshu Das +1
Information Retrieval is shifting from passive document ranking toward autonomous agentic workflows that operate in multi-step Reason-Act-Observe loops. In such long-horizon trajec…
Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity
Abhishek Dharmaratnakar, Srivaths Ranganathan, Debanshu Das +1
The domain of automatic video trailer generation is currently undergoing a profound paradigm shift, transitioning from heuristic-based extraction methods to deep generative synthes…
VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales
Vamshi Guduguntla, Kavin Soni, Debanshu Das
B2B sales organizations must identify "persuadable" accounts within zero-inflated revenue distributions to optimize expensive human resource allocation. Standard uplift frameworks…
Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges
Srivaths Ranganathan, Abhishek Dharmaratnakar, Anushree Sinha +1
Video recommender systems are among the most popular and impactful applications of AI, shaping content consumption and influencing culture for billions of users. Traditional single…