arXiv AI By Vennise Ho, Kristian Diana, Sandy Mourad, Milena Pilipovic, Vineel Nagisetty, Hossein Hajimirsadeghi

Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis

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arXiv AI
Aug 20

StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data

StocksTalk is a voice‑enabled conversational agent that turns spoken financial screening requests into validated structured queries over real‑world market data. It integrates streaming speech recognition, retrieval‑augmented constraint extraction, schema‑grounded LLM‑based SQL generation, rule‑based validation, and human‑in‑the‑loop verification, exposing intermediate reasoning artifacts for user inspection. A benchmark of 150 spoken prompts shows that its retrieval grounding, constrained query generation, and interactive verification improve constraint extraction accuracy, SQL executability, logical consistency, and multi‑turn stability over baseline LLM approaches.

By Akshat Parmar, Vikranth Udandarao, Abhay Shakya, Tanmay Hire, Avinash Anand, Rajiv Ratn Shah, Daniel Wang Zhengkui
arXiv AI
Aug 6

FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation

arXiv:2511. 07322v3 Announce Type: replace-cross Abstract: While LLMs have shown great success in financial tasks like stock prediction and question answering, their application in fully automating Equity Research Report generation remains uncharted territory.

By Song Jin, Shuqi Li, Shukun Zhang, Rui Yan
Hugging Face Trending Papers
Jun 22

IPO Finance Agent: Evaluation of LLM Financial Analysts beyond Finance Agent v2, with Automated Rubric Generation -- the Case of the SpaceX (SPCX) IPO

Finance Agent v2 (by Vals AI) has emerged as the reference benchmark for evaluating both Anthropic Claude and OpenAI ChatGPT frontier language models on financial tasks. However, it narrowly deals with periodic reporting from publicly traded companies (SEC 10-K and 10-Q filings), and its agentic harness relies on naive, unenriched chunk retrieval.