| 1 | FIRME: Registry-Anchored Memory Graphs for Evolving, Heterogeneous Investor Knowledge | Yunbai Zhang, Yunyi Gao, Han-Tai Shiao | cs.AI | 2026-10-29 |
| 2 | Explainable and Adaptive Machine Learning for Fraud Risk Detection in Bangladesh's Digital Banking Ecosystem | Md Najmus Swaqeeb | cs.LG | 2026-10-29 |
| 3 | Beyond LLM Wrappers: Context Engineering and the Three-Engine Architecture for Reliable Financial AI | Pradeep Kumar GS, Ravi Tanniru | cs.AI | 2026-10-29 |
| #4 | Sparse Autoencoders as Implicit Diversification Regularisers for Cross-Sectional Cryptocurrency Returns | Weijia Han, Lisha Qu | cs.LG | 2026-10-29 |
| #5 | Reading-Level Verification of Kanji Words in Japanese Financial Speech Synthesis | Cheng Zhang | cs.SD | 2026-10-29 |
| #6 | TreasuryQA Bench: Can AI Agents Work an Archive of Scanned Financial Records? | Ritiz Tambi, Sahar Shayegan, Joshua Meyer +5 | cs.AI | 2026-10-28 |
| #7 | Discovery of Diverse and Realistic Financial Tail-Risk Using Generative Flow Networks | Adir Serruya, Gilad Katz | cs.LG | 2026-10-28 |
| #8 | Right Numbers, Wrong Questions: Evaluating LLMs on Underspecified Financial Queries | Radha Yadav, Prasanna Devadiga, Peeyush Mishra +1 | cs.AI | 2026-10-28 |
| #9 | RoleFUZZER: User-Behaviour Fuzzing for Role-Specification Adherence in Large Language Models | Kshitish Ghate, Michael Saxon, Tadayoshi Kohno +1 | cs.CL | 2026-10-28 |
| #10 | Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future? | Huangfei Jiang, Anning Hu, Kai Sheng +7 | cs.AI | 2026-10-28 |
| #11 | EPSBench: Benchmarking LLM Agents for Earnings Forecasting | Yanbin Yin, Chuyu Xu, Liqin Ye +2 | cs.CL | 2026-10-28 |
| #12 | The Indian Financial Automated Advice Bias (IFAAB) Dataset : Auditing Socioeconomic and Demographic Disparities in LLM-Generated Financial Advice in India | Kriti Mahajan | cs.CY | 2026-10-28 |
| #13 | Grounding Long Financial Text with Semantically-Enriched Tables via Multimodal Learning | Xiaoyu Hu | cs.CL | 2026-10-27 |
| #14 | FilingLoop: Evaluating and Evolving LLM Agents for Corporate Disclosure Review and Revision | Wentao Zhang, Yilei Zhao, Guangyan Gan +2 | cs.AI | 2026-10-27 |
| #15 | LiveSearch: Questions as Executable Verifier Code for a Live Benchmark of Professional-Source Financial Search Agents | Sinuo Wang, Wentao Zhao, Jiacheng Lu +6 | cs.AI | 2026-10-27 |
| #16 | RubricAtlas: Mining Type-Level Rubrics from Expert Reports to Evaluate Deep Research Agents | Delin Wang, Sinuo Wang, Rui Sun +5 | cs.AI | 2026-10-27 |
| #17 | CAMR: Compatibility-Aware Memory Replay for Continual Learning in Large Language Models | Jingpu Yang, Tianhao Li, Fengxian Ji +3 | cs.CL | 2026-10-27 |
| #18 | FIDES-Live: Evaluating Behavioral Concordance in Sequential Trading Agents | Arther Tian, Alex Ding, Simon Wu +1 | cs.CR | 2026-10-27 |
| #19 | kw-bench: Breaking Frontier Harnesses on Real-World Tasks | George Juraj Salapa | cs.AI | 2026-10-26 |
| #20 | FinLLM-KG: Knowledge Graph-Enhanced LLMs for Financial Sentiment Analysis in Algorithmic Trading | Giorgos Iacovides, Oliver Hannibal, Wuyang Zhou +1 | cs.CL | 2026-10-26 |
| #21 | How Much Does the Hint Matter? Scope Conditions for Hindsight Self-Distillation in Financial Reasoning | Johnny Yu, Cyril Gorlla | cs.LG | 2026-10-26 |
| #22 | LLM-Enhanced Heterogeneous Graph Learning with Business Semantics for Financial Fraud Detection | Yixuan Chen, Hongyu Zhan, Jie Sheng +5 | cs.AI | 2026-10-26 |
| #23 | MINT: Mitigating Structural Inconsistency via Attentive Message Passing for Financial Anomaly Detection | Yin-Ju Wu, Bi-Cheng Yan, Berlin Chen | cs.LG | 2026-10-26 |
| #24 | NumTrace: Auditing the Number Provenance of Financial Analyst Agents | Tianlei Zhu, Matt White, Xue Liu +1 | cs.CL | 2026-10-26 |
| #25 | Arya Forge: Auditing Validation and Release Approval for Financial Instruction Data | Kushagra Bhatnagar, Deekshith Marla | cs.AI | 2026-10-26 |
| #26 | DecisionTraceBench: Tracking Decision-Critical Information in Multi-Party Spoken Conversations | Wenchao Du, Fangxin Shang, Long Wu +3 | cs.CL | 2026-10-26 |
| #27 | Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents | Nghi D. Q. Bui | cs.SE | 2026-10-26 |
| #28 | Models Verify Sufficiency, Not Validity: Usable Falsehoods Evade the Checks that Gaps Trigger | Naveen Madiraju | cs.LG | 2026-10-25 |
| #29 | Reversion, Retention, and Semantic Intervention: Measuring Functional Content in CLIP Fine-Tuning Deltas | Chih-Ting Liao, Kezhen Bao, Xin Cao | cs.CV | 2026-10-25 |
| #30 | Geodesic-SVDD Latent Mixup for One-Shot Distributed Tabular Learning | Andrea Moleri, Christian Internò, Markus Olhofer +2 | cs.LG | 2026-10-24 |
| #31 | FraudSociety: A Generative Agent-Based Society for the Financial-Fraud Economy | Keyang Chen, Mingxuan Jiang, Zeping Li +10 | cs.AI | 2026-10-24 |
| #32 | Implicit Beliefs as Scalable Process Rewards for Strategic Persuasion | Minqian Liu, Yuexi Shen, Heajun An +5 | cs.LG | 2026-10-24 |
| #33 | CauProphet: Teaching Agents to Develop Causal Cognition like Humans | Kaiwen Wu, Chaochao Lu | cs.AI | 2026-10-23 |
| #34 | Profile-Driven User Simulation via Reinforcement Learning with Hierarchical Rewards for Task-Oriented Dialogues | Juan Li, Fangshu Chang, Xinyi Jiang +2 | cs.CL | 2026-10-23 |
| #35 | Financial Context-Rich Strategy for Actor-Critic based Agents: A Deep Reinforcement Learning Approach for Stock Trading | Hrishikesh Singh, Aarti Sharma, Millie Pant | cs.AI | 2026-10-23 |
| #36 | Evidence-Grounded SLM Behavioral Prediction Architecture for Future Assistance Use | Adeyemi Adeseye, Aisvarya Adeseye, Hannu Tenhunen +1 | cs.AI | 2026-10-23 |
| #37 | Conservative Meta-Agent Search: Architecture Adaptation under Non-Stationarity | Ali Atiah Alzahrani | cs.AI | 2026-10-22 |
| #38 | Can Loan Processors and Underwriters Spot AI-Edited Statements? An Empirical Study | Simiao Ren, Xingyu Shen, Tommy Duong +1 | cs.AI | 2026-10-22 |
| #39 | When News Gets Old: Portfolio Allocation with Reinforcement Learning and Large Language Models | Bolin Song, Surui Xiang | cs.LG | 2026-10-22 |
| #40 | Leveraging Time-Series Foundation Models for Financial Crime Detection | Danae Natalie Savvidi, H. Çağrı Bilgi, Kubilay Atasu +1 | cs.LG | 2026-10-21 |
| #41 | LTEM: LLM-Friendly Table-Enhanced Markdown for Table Understanding and Generation | Eunbin Kim, Hyeonseok Kang, Sangkeun Jung | cs.CL | 2026-10-21 |
| #42 | Staged Continual Adaptation of Multimodal Foundation Models for Japanese Financial Documents | Genshin Kakimoto, Atsushi Yanagisawa | cs.AI | 2026-10-20 |
| #43 | S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents | Yang Li, Di Wan, Yike Wang +12 | cs.MA | 2026-10-20 |
| #44 | The More the Better? A Comparison of Single- and Multi-Agent LLM Setups on a Financial Review Task | Pei Liu | cs.AI | 2026-10-20 |
| #45 | Securing Agentic Commerce Through Behavior-Aware Fraud Detection and Cybersecurity for Trusted AI-Agent Payment Authorization | Kayode L. Ogunsusi | cs.AI | 2026-10-20 |
| #46 | CARLAR Influence: A Structured Hallucination Risk in Multimodal Cheque Extraction and an Exploratory Compressed-Image Countermeasure | Joong Ho, Choi, Aditya Paul +1 | cs.CV | 2026-10-19 |
| #47 | RGH-GNN : Risk-Gated Heterogeneous Graph Neural Network for Financial Fraud Detection | Mythreyee Hari, Subin Sahayam, Vegesna S M Srinivasavarma | cs.LG | 2026-10-19 |
| #48 | Teacher Supervision, Fixed Representations and Calibration: Exact Risk Calculations for Candidate-Scoring Decision Models | Agus Sudjianto, Denis Burakov | stat.ML | 2026-10-19 |
| #49 | Cross-Lingual Reusability of LLM Pipelines: Financial Extraction, Multilingual Reasoning, and Semantic Screening | Joong Ho, Choi, Sherine George +5 | cs.CL | 2026-10-19 |
| #50 | Game of Phones: Harnessing Game Theory and LLMs in 'Bot Wars' to Counteract Phone Scams | Nardine Basta, Robin Carpentier, Benjamin Zi Hao Zhao +1 | cs.CR | 2026-10-19 |