7 citations · 24 across the 16 of their papers we have counts for
4 papers · 1 filter
Spend Where It Matters: Particle Search with MH Refinement for Budget-Constrained Audio-Visual Alignment
Shivanshu Shekhar, Raghavendra Addanki, Tong Zhang +1
Reward-guided inference-time alignment can improve joint audio-visual generation, but optimizing multiple alignment objectives requires many expensive model evaluations, making exi…
Skill-based Agentic Evaluation for Real-time Data Science Tasks
Aniruddha Tamhane, Raghavendra Addanki, Ayushi Aggarwal +4
We present a framework for evaluating data-science agents on live, continuously updated data using executable ground truth and format-agnostic factoid scoring. Consider this exampl…
COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
Shripad Deshmukh, Jayakumar Subramanian, Raghavendra Addanki +1
In cooperative teams where agents act in a fixed order and share a single team-level reward (multi-agent language systems, sequential robotic tasks), per-agent credit assignment is…
GT-SVJ: Generative-Transformer-Based Self-Supervised Video Judge For Efficient Video Reward Modeling
Shivanshu Shekhar, Uttaran Bhattacharya, Raghavendra Addanki +3
Aligning video generative models with human preferences remains challenging: current approaches rely on Vision-Language Models (VLMs) for reward modeling, but these models struggle…