activity
20192026
most citedABIDES: Towards High-Fidelity Market Simulation for AI Research

35 citations · 225 across the 65 of their papers we have counts for

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5 papers · 1 filter

cs.AI2024★ 2 cited

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts

William Watson, Nicole Cho, Nishan Srishankar +7

Legal contracts in the custody and fund services domain govern critical aspects such as key provider responsibilities, fee schedules, and indemnification rights. However, it is cha…

cs.AI2024

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Gaurav Verma, Rachneet Kaur, Nishan Srishankar +3

State-of-the-art multimodal web agents, powered by Multimodal Large Language Models (MLLMs), can autonomously execute many web tasks by processing user instructions and interacting…

cs.AI2024★ 2 cited

HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies

William Watson, Nicole Cho, Tucker Balch +1

A myriad of different Large Language Models (LLMs) face a common challenge in contextually analyzing table question-answering tasks. These challenges are engendered from (1) finite…

cs.AI2024★ 3 cited

LLM-driven Imitation of Subrational Behavior : Illusion or Reality?

Andrea Coletta, Kshama Dwarakanath, Penghang Liu +2

Modeling subrational agents, such as humans or economic households, is inherently challenging due to the difficulty in calibrating reinforcement learning models or collecting data…

cs.AI2021★ 4 cited

Towards Realistic Market Simulations: a Generative Adversarial Networks Approach

Andrea Coletta, Matteo Prata, Michele Conti +5

Simulated environments are increasingly used by trading firms and investment banks to evaluate trading strategies before approaching real markets. Backtesting, a widely used approa…