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Sahil Shah

11 papers hereh-index 565 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author8

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.AI1
  • cs.SE1
same name
  • Sahil Shah — 5 papers, h 1
  • Sahil Shah — 4 papers, h 5
  • Sahil Shah — 2 papers, h 1
  • Sahil Shah — 2 papers, h 3
  • Sahil Shah — 1 paper, h 2
  • Sahil Shah — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedTowards Neuro-Symbolic Video Understanding

9 citations · 9 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

CrossView: Can Vision-Language Models Reason Across Cameras?

Sahil Shah, S P Sharan, Harsh Goel +4

Video understanding benchmarks have long centered on single-camera settings, where modern multi-modal language models achieve strong performance across image and video tasks. Yet,…

cs.CV2026

Incentivizing Vision Language Models to Search for Long Video Question Answering

Harsh Goel, S P Sharan, Sahil Shah +4

We introduce VSeek, an agentic framework that transforms long-video question answering (LVQA) from a passive, single-pass perception task into a multi-turn retrieval process. VSeek…

cs.SE2026

Composer 2 Technical Report

Cursor Research, :, Aaron Chan +53

Composer 2 is a specialized model designed for agentic software engineering. The model demonstrates strong long-term planning and coding intelligence while maintaining the ability…

cs.CV2026

RT-NeuS: Towards Real-Time Neuro-Symbolic Video Understanding via Adaptive Temporal Verification

Shawn Liang, Sahil Shah, Chengwei Zhou +5

Long-form video question answering (LVQA) requires answering natural-language queries about videos spanning minutes to hours, demanding temporal reasoning across thousands of frame…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.