Robust XGBoosting for Regression
Researchers propose a robust XGBoost regression variant to mitigate sensitivity to vertical outliers and leverage points in tabular datasets.
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Researchers propose a robust XGBoost regression variant to mitigate sensitivity to vertical outliers and leverage points in tabular datasets.
An arXiv paper details eight years of language model evolution, tracking rapid capability growth in coding agents alongside steep cost declines.
Researchers introduce MINT, a zero-shot foundation model architecture designed for multi-task predictive reasoning on transaction sequence data.
Researchers introduced fairness constraints directly into Tabular Foundation Model (TFM) pre-training to enable fair predictions.
Research demonstrates no universal inference-time signal can predict individual sample-level LLM regressions during version updates.
Researchers propose applying ACID-compliant transactional frameworks to LLM agents to ensure reliable, safe, and durable multi-step execution.
Researchers introduced Regime-Conditional Verification to adapt safety classifiers to policy shifts and traffic drift without retraining.
Researchers introduced a graph-based RL framework to detect, assess, and recover from runtime behavioral drift in autonomous LLM agents.
Researchers introduced Principle-Bench to evaluate LLM-as-judge systems assessing compliance with principle-based financial regulations.
Researchers introduced ATLAS, a framework using automata learning to extract interpretable behavioral strategies from complex LLM agents.
Researchers unified leading membership inference attacks (LiRA, RMIA, BASE) into a single exponential-family framework called BaVarIA.
Researchers propose a gradient-guided token suppression defense against visual prompt injection attacks on multimodal models.
Academic paper formalizes the tradeoff between training window length and model complexity in non-stationary financial return prediction.
A European bank tested a hybrid AI-econometric prototype combining sentiment analysis and topic modeling for interest rate forecasting in ALM.
Researchers introduced HalluTruthQA-4K, an expanded fine-grained evaluation corpus and dataset for Arabic hallucination detection.
A research paper demonstrates that classification models lose probability calibration when encountering unseen fine-grained subtypes.
Researchers introduced RepBench, a standardized benchmark dataset mapping internal LLM representations to 182 distinct capability taxonomies.
Kalypso introduces relational LLM serving, an abstraction making LLM execution aware of query plans to improve performance for semantic operations on unstructured data.
Research dissociates LLM sycophancy into factual and opinion subtypes, analyzing internal representations to understand its varied manifestations.
Research proposes a category theory approach using Kan extensions to define and compute structural invariants for transfer learning between tasks.
Research proposes a reward modeling approach to debias Text-to-Image (T2I) evaluation by incorporating implicit cultural alignment.
Microsoft delayed an Exchange update due to a backlog of bugs introduced by machine-generated code tools.
Plaid released its 2025 fraud report detailing the rise of AI-generated deepfakes and automated scams targeting fintech infrastructure.
Goldman Sachs research shows only 2% of S&P 500 firms quantified AI-driven financial earnings impact in Q2 reports.
OpenAI has reportedly disbanded its preparedness team, distributing AI safety and catastrophic risk evaluation across other groups.
Stripe is reportedly in talks to acquire AI gateway and model routing startup OpenRouter in a deal valued over $7B.
OpenAI introduced Computer History to its macOS desktop app, tracking user clicks and keystrokes to train models and automate tasks.
Adyen is hosting a webinar on its new Agentic Commerce Gateway for AI-driven transactions.
Adyen launched Adyen Agentic, an integration layer designed to connect merchant commerce stacks to autonomous AI agent transaction networks.
Alibaba reported over 3 billion downloads for its open-weight Qwen models over the last six months, outpacing open releases from Meta and Google.
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