7 citations · 8 across the 6 of their papers we have counts for
6 papers
BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows
Elaine Lau, Markus Dücker, Ronak Chaudhary +24
Existing AI benchmarks lack the fidelity to assess economically meaningful progress on professional workflows. To evaluate frontier AI agents in a high-value, labor-intensive profe…
Quantum-Resistant Authentication Scheme for RFID Systems Using Lattice-Based Cryptography
Vaibhav Kumar, Kaiwalya Joshi, Bhavya Dixit +1
We propose a novel quantum-resistant mutual authentication scheme for radio-frequency identification (RFID) systems. Our scheme uses lattice-based cryptography and, in particular,…
PAFFA: Premeditated Actions For Fast Agents
Shambhavi Krishna, Zheng Chen, Yuan Ling +4
Modern AI assistants have made significant progress in natural language understanding and tool-use, with emerging efforts to interact with Web interfaces. However, current approach…
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar +2
Using tools by Large Language Models (LLMs) is a promising avenue to extend their reach beyond language or conversational settings. The number of tools can scale to thousands as th…
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar +3
Large Language Models (LLMs) have become a cornerstone in the field of Natural Language Processing (NLP), offering transformative capabilities in understanding and generating human…
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
Minqian Liu, Ying Shen, Zhiyang Xu +5
Natural Language Generation (NLG) typically involves evaluating the generated text in various aspects (e.g., consistency and naturalness) to obtain a comprehensive assessment. Howe…