daVinci-Env: Open SWE Environment Synthesis at Scale
Researchers introduced daVinci-Env, a framework for generating large-scale, executable software engineering environments for AI agents.
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Researchers introduced daVinci-Env, a framework for generating large-scale, executable software engineering environments for AI agents.
Researchers propose improving efficient LLM benchmarking by reframing the task as feature selection and using kernel ridge regression.
Researchers propose SkillPyramid, a hierarchical framework for self-evolving AI agents to consolidate and reuse learned capabilities.
Researchers proposed AlphaMemo, a structured search-process memory framework designed to improve LLM-based quantitative alpha mining.
Research shows open-book scores for document LoRA adapters reflect general reading ability rather than distinct document knowledge storage.
Researchers introduced SANE, an automated metamorphic testing framework to evaluate scorer-specific reliability in LLM-as-a-judge systems.
Researchers propose structured meta-cognition frameworks to give LLM agents flexible reasoning mode switching.
Researchers introduced NodeSynth, a methodology using a taxonomy generator and published sources to produce socially aligned synthetic evaluation data.
Researchers introduce Muse Glimmer 30B, an open-source model designed for local agentic workflows on consumer hardware.
Researchers show POPE benchmark evaluation scores for Vision-Language Model hallucination fluctuate due to token readout implementation choices.
Researchers introduce ToolRACER, a benchmark for training and evaluating task-oriented conversational agents against adversarial users.
Researchers introduced LeakScale, an interventional framework to quantify the causal effect of training benchmark leakage on AI performance.
Researchers introduced BabelArena and BabelFlow, a multilingual benchmark and workflow adapting LLM agent evaluations beyond English.
Researchers adapted the Honeyquest framework to evaluate how 21 different LLM architectures respond to cyber deception and honeypots.
New research highlights LLM vulnerabilities where implicit natural language context bypasses standard alignment and safety filters.
Researchers introduced AgentGUI, a locally hosted interface designed to observe, log, and steer concurrent, long-running AI agent sessions.
Research analyzes conversational entrainment in code-switched speech across Mandarin-English, Hindi-English, and Spanish-English dialogues.
Researchers propose Janus, a foresight framework using multi-agent simulation to anticipate delayed operational risks from tool-using agents.
Hong Kong firm L2 Capital partners with Newton Labs to tokenize $500m in late-stage pre-IPO AI company shares using compliance protocols.
Apollo Global Management's chief economist states AI investments outside the technology sector have yielded zero financial payoff to date.
OpenAI introduced GPT-6.1 Terra, bringing computer use capabilities aimed at automated execution across interfaces.
McKinsey outlines governance, architecture, and accountability requirements for banks scaling autonomous agentic AI workflows.
McKinsey outlines how banks can deploy agentic AI to automate transaction monitoring and streamline compliance processes.
McKinsey published insights on implementing agentic AI within financial-crime prevention based on a year of enterprise deployments.
The UK AI Security Institute finds pretraining data filtering for open-weight protein models effective but vulnerable to fine-tuning.
UK AI Security Institute benchmarked coding agents to assess if they can recreate restricted biological AI models from research papers.
Block introduced Dessa, a voice AI model trained on human conversation, which drew both industry praise and concerns over potential scams.
OpenAI announced new security protocols for training AI models in closed systems without internet access.
Anthropic unified Claude chat and Cowork across web, desktop, and mobile platforms for enterprise customers.
An Apollo economist states AI investments have generated zero financial payoff for non-tech corporate America so far.