New AI Tool Tests Trading Bots in Realistic Financial Scenarios
Researchers created OpenFinGym, a platform to test AI trading bots on multiple financial tasks. It helps evaluate how well these bots perform in real-world market conditions.
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Research
1190 stories tagged Research · page 22 of 50
New AI Tool Detects Media Bias by Reading Entire Articles
Researchers have developed HierBias, an AI model that analyzes whole articles to detect media bias, formally proving that using document context reduces error compared to sentence-by-sentence approaches.
New AI Tool Analyzes Governance of Decentralized and Corporate AI Systems
Researchers developed an AI-powered pipeline to compare governance structures of decentralized and corporate AI protocols. The system analyzes over 4,300 governance discussions to uncover power dynamics in AI agent interoperability standards.
New AI Benchmark Tests When Models Should 'Know' vs. 'Guess'
Researchers created a contamination-aware, multi-zone benchmark called Know2Guess to evaluate when large language models should answer questions versus abstain. It has 1,200 items across five domains with explicit abstention expectations and contamination-risk metadata.
How AI Models Suggest Research Methods: A New Study
Researchers found that AI models like GPT-5.1, Gemini 3 Pro, and DeepSeek-V3.2 have distinct tendencies when suggesting research methods. The study highlights how these models might influence scientific research differently.
COrigami: An AI Pipeline for Co-Designing Flat-Foldable, Visually Recognizable Origami
Researchers introduced COrigami, an AI pipeline that co-designs origami crease patterns which are both mathematically flat-foldable and visually recognizable. This bridges the gap between rigid geometric constraints and subjective aesthetics, potentially making computational origami design more accessible.
ContextForge: System That Helps AI Remember Long Conversations Without Overloading Memory
Researchers introduced ContextForge, a system that helps large language models maintain relevant information across long conversations by recycling context instead of replaying entire histories. This could slash token usage and improve multiturn reasoning.
AI System Helps Patients Find Reliable Mental Health Medication Info
Researchers developed an AI system that combines official drug data with patient experiences to provide safer, more accurate medication information. This could help people make better decisions about their mental health treatments.
AI-Powered Trading Strategies: AlgoEvolve Uses LLMs to Create Better Algorithms
Researchers have developed AlgoEvolve, an AI system that uses large language models to evolve and improve algorithmic trading strategies. This could make trading more accessible and efficient for everyday investors.
AI Agents Tested on Real-World Energy Market Tasks
Researchers evaluated AI agents on complex energy market tasks, including live data retrieval, regulatory knowledge, and multi-step quantitative reasoning. The study fills a critical gap, with 243 expert-designed tasks showing how tool-augmented LLMs could make energy systems more efficient and responsive.
TrustMem: New Framework Helps AI Agents Remember Accurately Without Persistent Errors
Researchers introduced TrustMem, a framework designed to improve long-term memory in AI agents. It addresses the problem of AI systems forgetting important information or generating hallucinated content that becomes permanently stored. This could make AI assistants more reliable over extended interactions.
Researchers Unveil iLLaDA: A Breakthrough in Bidirectional AI Language Models
A new AI model called iLLaDA uses a different approach to understand language, potentially making it more efficient and accurate. This could lead to better AI assistants and tools that understand context more naturally.
New Research Identifies Why AI Agents Fail at Persuasion and How to Fix It
AI agents often make mistakes that snowball over time, especially in tasks like persuasion. Researchers found a key reason—semantic leakage in standard RAG—and developed a method called Taxonomic Strategy Retrieval to prevent these compounding errors.
New Guide Explains How to Build Smart AI Agents from Scratch
A new practitioner's reference, 'The Hitchhiker's Guide to Agentic AI,' covers the full stack of building autonomous AI systems—from transformer architecture and GPU systems to fine-tuning, model compression, and production deployment.
New AI Method Generates Academic Paper Highlights Without Training Data
Researchers developed an AI technique to automatically create highlights for academic papers. This could make scientific research easier to digest for non-experts and improve literature searches.
New AI Framework Helps Research Agents Find Better, More Diverse Ideas
Researchers developed Heuresis, a framework to help AI agents explore high-quality, diverse, and novel ideas in machine learning. This could speed up scientific progress by making AI research more efficient and creative.
How Wikipedia Edits Shape AI's Understanding of Animal Welfare
A small group of Wikipedia editors has shown that targeted edits can influence how AI models discuss animal welfare. Their work highlights the power of curated information in shaping AI behavior.
AI Researchers Automate Benchmark Creation for Smarter Reasoning Tests
Researchers developed a method using large language models to automatically generate challenging test problems for AI reasoning. This could lead to better evaluations of AI's ability to apply knowledge to new, harder tasks.
RIFT-Bench: A New Benchmark for Stress-Testing Agentic AI Security
Researchers introduced RIFT-Bench, a dynamic red-teaming benchmark that uses a graph-based methodology to evaluate security vulnerabilities across diverse agentic AI systems. Unlike static tests, it simulates adaptive attacks to find weaknesses before real hackers do, aiming to make autonomous AI safer.
New Research Aims to Make AI Systems More Reliable and Safe
A new study explores whether reinforcement learning (RL) on beneficial behavior can help AI systems generalize alignment beyond their training data, addressing risks like reward hacking and deception in high-stakes settings.
New AI Alignment Method Lets Users Guide Responses with Simple Instructions
Researchers introduced a new way to align AI models with user preferences without expensive fine-tuning. This method uses simple instructions and a few examples to create natural-language prompts that guide AI behavior.
Neuro-Symbolic Drive: Training AI to Reason Step-by-Step Like a Rule-Following Driver
Researchers developed a neuro-symbolic framework that trains vision-language-action driving models using rule-grounded reasoning traces from classical planners, making autonomous driving decisions more transparent and causally connected to planned motion.
Apple Researchers Discover a 'Super Weight' That Can Control AI Behavior
Apple researchers found a single parameter in AI models that can dramatically change how they behave. This discovery could make AI more predictable and easier to control.
AI Chatbots Still Struggle with Mental Health Support
A new study found that AI chatbots fail to provide consistent safety for most mental health conditions. Only suicide and self-harm have reliable safeguards in place. Researchers call for better standards and transparency.