activity
20242026
most citedMORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Black-Box Forensics for Conversational LLM Agents

Isadora White, Yasaman Jafari, Taylor Berg-Kirkpatrick

As LLM-powered scams proliferate, black-box forensics for conversational LLM agents offers a path to accountability for systems hidden behind anonymous endpoints. Identifying the b…

cs.AI2025

Zephyrus: An Agentic Framework for Weather Science

Sumanth Varambally, Marshall Fisher, Jas Thakker +14

Foundation models for weather science are pre-trained on vast amounts of structured numerical data and outperform traditional weather forecasting systems. However, these models lac…

cs.CL2025

Studying the Soupability of Documents in State Space Models

Yasaman Jafari, Zixian Wang, Leon Bergen +1

We investigate whether hidden states from Structured State Space Models (SSMs) can be merged post hoc to support downstream reasoning. Inspired by model souping, we study document…

cs.LG2024

ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models

Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky +6

The use of Large Language Models (LLMs) in climate science has recently gained significant attention. However, a critical issue remains: the lack of a comprehensive evaluation fram…

cs.CL2024★ 2 cited

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

Yasaman Jafari, Dheeraj Mekala, Rose Yu +1

RL-based techniques can be employed to search for prompts that, when fed into a target language model, maximize a set of user-specified reward functions. However, in many target ap…