2.7k citations · 2.7k across the 17 of their papers we have counts for
7 papers · 1 filter
A Head Camera Is (Almost) All You Need: An Electronics-Free UMI Glove Labelled and Observed by One Moving Camera
Yosub Shin, Yuan Liu, Igor Molybog
Handheld demonstration devices decouple data collection from the robot, but conventional designs burden the hand with a wrist camera, cables and a pose tracker (SLAM, an IMU, a VR…
Fiatlux: A Long-Horizon Benchmark for Humanoid Ladder Climbing and Light-Bulb Replacement
Pavel Bushuyeu, Yujin Chen, Anton Nikolaev +2
Existing benchmarks evaluate tabletop manipulation, flat-floor household activity, or humanoid locomotion and manipulation as separate task groups; none scores vertical mobility an…
Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
Md Shohel Arman, Igor Molybog
We investigate whether natural-language documentation helps coding agents resolve software issues, and we build the tools to construct and evaluate it. We introduce a roundtrip ben…
Scaling an Autoregressive Transformer for Single-Cell Generation
Aleksandr Sharipov, Yusif Mukhtarov, Igor Molybog
We study a self-supervised generation task for single-cell gene expression vectors: given a set of vectors from a cell type, we aim to generate additional gene expression vectors o…
Speculative Decoding Scaling Laws (SDSL): Throughput Optimization Made Simple
Amirhossein Bozorgkhoo, Igor Molybog
Speculative decoding is a technique that uses multiple language models to accelerate infer- ence. Previous works have used an experi- mental approach to optimize the throughput of…
m2sv: A Scalable Benchmark for Map-to-Street-View Spatial Reasoning
Yosub Shin, Michael Buriek, Igor Molybog
Vision--language models (VLMs) achieve strong performance on many multimodal benchmarks but remain brittle on spatial reasoning tasks that require aligning abstract overhead repres…
Data-Efficient Curation for Multimodal Reasoning under Fixed Training Protocols
Yosub Shin, Michael Buriek, Boris Sobolev +5
We study data curation for multimodal reasoning in a fixed-protocol fine-tuning regime, where the base model, optimizer, training schedule, and evaluation pipeline are held constan…