activity
20192026
most citedHuman-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

6 citations · 18 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.LG2024

Towards Operationalizing Right to Data Protection

Abhinav Java, Simra Shahid, Chirag Agarwal

The widespread practice of indiscriminate data scraping to fine-tune language models (LMs) raises significant legal and ethical concerns, particularly regarding compliance with dat…

cs.HC2024★ 3 cited

CoPrompter: User-Centric Evaluation of LLM Instruction Alignment for Improved Prompt Engineering

Ishika Joshi, Simra Shahid, Shreeya Venneti +5

Ensuring large language models' (LLMs) responses align with prompt instructions is crucial for application development. Based on our formative study with industry professionals, th…

cs.HC2024★ 6 cited

Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

Marissa Radensky, Simra Shahid, Raymond Fok +3

The scientific ideation process often involves blending facets of existing papers to create new ideas. We contribute Scideator, the first human-LLM system for facet-based scientifi…

cs.CL2024★ 1 cited

Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models

Shaz Furniturewala, Surgan Jandial, Abhinav Java +4

Existing debiasing techniques are typically training-based or require access to the model's internals and output distributions, so they are inaccessible to end-users looking to ada…

cs.CV2024

LEAST: "Local" text-conditioned image style transfer

Silky Singh, Surgan Jandial, Simra Shahid +1

Text-conditioned style transfer enables users to communicate their desired artistic styles through text descriptions, offering a new and expressive means of achieving stylization.…