(EMNLP 2025) Weaver: A modular agentic pipeline that dynamically combines SQL and LLMs for advanced table-based question answering

CRDFAgent is a modular Python framework for multi-step question answering, combining clarification, routing, decomposition, retrieval, and aggregation to deliver accurate, reproducible answers for complex tasks like financial document QA.

Thinking-aware baselines & low-data LoRA/QLoRA post-training on FinQA — a controlled Qwen3-4B vs Qwen3-8B numerical-reasoning study.

AI analyst for SEC 10-K filings. RAG + LangGraph agent + GRPO fine-tuning on FinQA. 11.5% → 20.5% accuracy progression.

Controlled study: does continued pre-training on SEC 10-K filings help downstream financial QA? A clean negative result on a fair evaluation instrument. Qwen2.5-3B; FinQA/TAT-QA; CPT (LoRA and full-parameter), SFT, DPO.

Fine-tuning Phi-3-mini on FinQA and FinBench using QLoRA for financial reasoning. Before/after benchmarks included. Model published to Hugging Face Hub.