activity
20172026
most citedHellaSwag: Can a Machine Really Finish Your Sentence?

42 citations · 158 across the 42 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

cs.CV2025

Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activities

Fan Yang, Quanting Xie, Atsunori Moteki +5

Periodic human activities with implicit workflows are common in manufacturing, sports, and daily life. While short-term periodic activities -- characterized by simple structures an…

cs.CV2025

MM-SeR: Multimodal Self-Refinement for Lightweight Image Captioning

Junha Song, Yongsik Jo, So Yeon Min +4

Systems such as video chatbots and navigation robots often depend on streaming image captioning to interpret visual inputs. Existing approaches typically employ large multimodal la…

cs.RO20251 cited

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models

Huihan Liu, Rutav Shah, Shuijing Liu +6

Assistive teleoperation, where control is shared between a human and a robot, enables efficient and intuitive human-robot collaboration in diverse and unstructured environments. A…

cs.AI2025

FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks

Jun Takahashi, Atsunori Moteki, Akiyoshi Uchida +11

This paper introduces FieldWorkArena, a benchmark for agentic AI targeting real-world field work. With the recent increase in demand for agentic AI, they are built to detect and do…

cs.CL20252 cited

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Jared Fernandez, Clara Na, Vashisth Tiwari +3

As large language models (LLMs) scale in size and adoption, their computational and environmental costs continue to rise. Prior benchmarking efforts have primarily focused on laten…

cs.LG2025

Looking beyond the next token

Abitha Thankaraj, Yiding Jiang, J. Zico Kolter +1

The structure of causal language model training assumes that each token can be accurately predicted from the previous context. This contrasts with humans' natural writing and reaso…