AI Wiki — Knowledge Base

Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks

arXiv:2604.09650v1 Announce Type: cross Abstract: Accurately predicting stock repurchases is crucial for quantitative investment and risk management, yet traditional static models fail to capture the

applicationsarxiv-cs-ai

14 Apr 2026

Search: “companies”

DBpedia-Enriched Company Representation for B2B Lead Recommendation

AI-Augmented Human Resource Management? Insights from German companies

Fairness Auditing: Lower Bounds on Company Manipulation

JaleesBench: Are AI Assistants Good Spiritual Company?

The Company You Keep: How LLMs Respond to Dark Triad Traits

From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company

Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks

FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing

FinTradeBench: A Financial Reasoning Benchmark for LLMs

Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model

GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction

Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning

Risk Reporting for Developers' Internal AI Model Use

Accounting Graph Transformer for Short-History Multi-KPI Forecasting in Small Businesses

An Exploratory Study on LLM-Generated Code and Comments in Code Repositories

Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs

What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research

Does a Toehold Make a Bidder Bolder? Preemption and Multiplicity in Multi-Round Takeover Auctions

Can Language Models Identify Shadow Trading Targets? An NLP Evaluation of SEC Enforcement Theory

Humans Are More Diverse: Frontier LLMs Show Extreme Policies in Idealised AI Development Races

Exploring Block Anomaly Detection In HDFS Log Data Analysis

Shapley-Value-Based Feature Attribution for Data Masking

GAUGE: Grading Agent-Built Financial Models Without a Golden Answer

HANDBOOK.md: A Benchmark for Long-Context Agentic Instruction Following

Who Gets Named: Citation Type Predicts Individual Naming by Grounded Language Models, and a Roster Instrument Captures 0.5% of It

Grounded Event Extraction from SEC 8-K Filings with a Fine-Grained Taxonomy

Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking

Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs

How Much Due Diligence Before You Bid? Learning in Intractable Takeover Auctions

PolicyGuard: A Dialogue-Grounded Sub-Agent Verifier for Policy Adherence in LLM Agents

Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation

How Large Language Models Source Brand Reputation Across Languages and Markets

MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios

Probabilistic Agents in Deterministic Audits: Evaluating Multi-Agent Systems for Automated Audits Based on the German IT-Grundschutz

Combinatorial Allocation Bandits with Nonlinear Arm Utility

From Complaint Narratives to Monetary Relief: A Hybrid Machine Learning Framework for CFPB Consumer Complaints

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting

Can LLMs Write Correct TLA+ Specifications? Evaluating Natural-Language-to-TLA+ Generation

MINES: Explainable Anomaly Detection through Web API Invariant Inference

ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use

AI in the Enterprise: How People Use M365 Copilot Chat

LLM-Based Financial Sentiment Analysis in Arabic: Evidence from Saudi Markets

ConFit v3: Improving Resume-Job Matching with LLM-based Re-Ranking

Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams

Heterogeneity-Aware Personalized Federated Learning for Industrial Predictive Analytics

Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice