most citedTracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5

3 citations · 4 across the 6 of their papers we have counts for

collaborators

9 papers

cs.AI2025

Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI

Samarth Sarin, Lovepreet Singh, Bhaskarjit Sarmah +1

Agentic memory is emerging as a key enabler for large language models (LLM) to maintain continuity, personalization, and long-term context in extended user interactions, critical c…

q-fin.CP2025

Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models

Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah +1

Large Language Models are increasingly adopted in financial applications to support investment workflows. However, prior studies have seldom examined how these models reflect biase…

q-fin.CP2025

FinCARE: Financial Causal Analysis with Reasoning and Evidence

Alejandro Michel, Abhinav Arun, Bhaskarjit Sarmah +1

Portfolio managers rely on correlation-based analysis and heuristic methods that fail to capture true causal relationships driving performance. We present a hybrid framework that i…

q-fin.CP2025

FinReflectKG -- MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence

Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah +1

Multi-hop reasoning over financial disclosures is often a retrieval problem before it becomes a reasoning or generation problem: relevant facts are dispersed across sections, filin…

q-fin.CP2025

FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling

Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali

Text-to-SQL, the task of translating natural language questions into SQL queries, has long been a central challenge in NLP. While progress has been significant, applying it to the…

q-fin.CP20253 cited

Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5

Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah +1

The growing adoption of large language models (LLMs) in finance exposes high-stakes decision-making to subtle, underexamined positional biases. The complexity and opacity of modern…