9 papers
Mind the Cap: Output-Budget Regimes Change the Measured Multilingual Reasoning Gap
Ankit Goyal, Jaideep Ray
Multilingual evaluations report accuracy at a single output-token cap, but languages need different numbers of tokens to express the same content, so the cap is a hidden experiment…
From Agent Failures to Text Policies: What Works and What Breaks
Jaideep Ray, Ankit Goyal
TextGrad improves language-model systems by revising text from feedback. Its core thesis is that natural-language feedback can act as a gradient for optimizing text components with…
Structured Feedback Improves Repair in an LLM Agent Loop
Jaideep Ray, Ankit Goyal
The paper presents VeriHarness, a code‑controlled loop that lets external validators give structured feedback (failure location, observed value, admissible alternatives) to LLM age…
RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
Jenai Xuning Yang, Xuning Yang, Rishit Dagli +6
The pursuit of general-purpose robotics has yielded impressive foundation models, yet simulation-based benchmarking remains a bottleneck due to rapid performance saturation and a l…
OG-VLA: Orthographic Image Generation for 3D-Aware Vision-Language Action Model
Ishika Singh, Ankit Goyal, Stan Birchfield +3
We introduce OG-VLA, a novel architecture and learning framework that combines the generalization strengths of Vision Language Action models (VLAs) with the robustness of 3D-aware…
VLA-0: Building State-of-the-Art VLAs with Zero Modification
Ankit Goyal, Hugo Hadfield, Xuning Yang +2
Vision-Language-Action models (VLAs) hold immense promise for enabling generalist robot manipulation. However, the best way to build them remains an open question. Current approach…