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SEC：IFIP International Information Security Conference。 Explanation：国际信息安全会议。 Publisher：Springer。 SIT： http://dblp.uni-trier.de/db/conf/sec/
NumTrace: Auditing the Number Provenance of Financial Analyst Agents
Arxiv
0+阅读 · 10月26日
From SEC Filings to Financial Signals: Evaluating LLMs on Stock Market Reactions and Analyst Forecasts
Arxiv
0+阅读 · 10月16日
TargetSEC: Plug-and-Play In-the-Wild Speech Emotion Conversion via Arousal-Conditioned Latent Style Diffusion
Arxiv
0+阅读 · 10月16日
FinGREAT: Evaluating LLMs on Financial Graph-guided Retrieval And Typing
Arxiv
0+阅读 · 10月13日
Early Detection of Pension-Sponsor Distress from Public Filings: A Sponsor Vulnerability Index, Stress-Augmented VaR, and Dynamic Self-Investment Caps
Arxiv
0+阅读 · 10月9日
Towards Expert Financial QA via Self-Improving RAG
Arxiv
0+阅读 · 9月23日
A Training-Free, Alignment-Free Approach to Corporate Intelligence: Application to SEC Filings
Arxiv
0+阅读 · 9月13日
A Training-Free, Alignment-Free Approach to Corporate Intelligence: Application to SEC Filings
Arxiv
0+阅读 · 9月10日
PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents
Arxiv
0+阅读 · 9月12日
Mixed-integer flow formulations for motion planning and decision-making of networked multi-agent systems
Arxiv
0+阅读 · 9月21日
VERA-8B: Evidence-Grounded Audit Risk Reasoning from SEC Filings
Arxiv
0+阅读 · 8月28日
IPO Finance Agent: Benchmark of LLM Financial Analysts Beyond Finance Agent v2, with Automated Rubric Generation, on the SpaceX (SPCX) IPO
Arxiv
0+阅读 · 6月30日
Point-in-Time Financial RAG with Frozen LLMs and Market-Feedback Adaptive Retrieval
Arxiv
0+阅读 · 6月21日
The Stanford EDGAR Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data
Arxiv
0+阅读 · 6月17日
The Stanford EDGAR Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data
Arxiv
0+阅读 · 6月16日
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