activity
20162026
most citedSynthetic and Natural Noise Both Break Neural Machine Translation

398 citations · 1.1k across the 84 of their papers we have counts for

collaborators

92 papers

cs.CL2026

Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models

Jean de Dieu Nyandwi, Leena Mathur, Yonatan Bisk +2

Which reasoning behaviors are associated with correct answers in reasoning models, and does reasoning-oriented training amplify those behaviors? This distinction is important becau…

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.RO2025★ 1 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.CL2025★ 2 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…