The Archive

One-Relation Attack exploits single implicit warrants to flip LLM agent beliefs; 54.9% success overturning correct answers.

Bellman Language Models cache repeated agent decisions as optimization solutions to accelerate bounded agentic workflows.

Utility-Verified Abstraction teaches code agents to query cloud models while masking private code via role/type abstraction instead of identifier removal.

ZO-FO hybrid framework systematically explores adversarial jailbreak attacks on LLM agents by coordinating zeroth-order and first-order optimization strategies.

DialogMem benchmark evaluates embodied agents integrating dialogue and visual memory across 142 episodes for object navigation and QA in 3D environments.

ReTRACE integrates LLM agents with chemistry tools and route scoring for retrosynthesis planning, handling stereochemistry and cost tradeoffs.

ServiceBench benchmark evaluates LLM agents on complaint handling across 2,500 scenarios; finds current agents struggle with emotional reasoning under information asymmetry.

MetaSkill framework enables composable agent skills by formalizing coordination at skill boundaries while keeping task logic in natural language, using DAG execution.

DiffuPlan enables editable planning state for diffusion language model agents, allowing mid-generation revisions as evidence arrives, leveraging bidirectional conditioning.

Autonomous agents are the hottest thing in AI. OpenAI, Meta, Google, Instinct, and others promise their agents can scour the internet on your behalf, doing anything from booking a dinner reservation and cleaning out your inbox to buying new shoes. But what happens when the rest of the internet won't play nice? In recent weeks, users of services like Meta's Muse, xAI's Grok, OpenAI's Dots, and Instinct have reported blocks preventing their AI agents from performing tasks across top websites. Yelp told TechCrunch that it only allows AI agents that pay for its data licensing program, while Delta...

SEER-Repro benchmark evaluates LLM agents on automating reproducibility and robustness analysis of 20 published medical studies using cancer registry data.

The agents got in through credentials and connection settings left exposed in app configurations, public code repositories, and overly permissive cloud roles.

Context-bandit approach learns personalized memory gating policies for LM agents using delayed one-sided feedback.

AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As... AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As a result, the current workflow is split across a laptop, a cloud model API, and a cloud VM. NVIDIA RTX Spark is built for AI development. Thanks to the NVIDIA GB10 system-on-a-chip and large unified memory, developers can run local… Source

Tool Recommendation system deployed for multi-step agents surfaces 8,200 tools through fixed interface, solving context-window bottleneck at scale.

Framework assessing reliability of LLM agents simulating stakeholders for multi-criteria healthcare operations decision-making under preference uncertainty.

Replit CEO Amjad Masad envisions a future of “self-driving companies,” where AI agents handle day-to-day tasks and people focus on higher-level decisions.

SchemaShield-Lite repairs LLM agent function-calling robustness against interface drift via schema validation and retry logic without model retraining.

AgentOnto guides LLM agents on enterprise analytics using ontology-structured knowledge and iterative feedback incorporation across databases and documents.

MobileInject reveals cross-modal injection vulnerabilities in MLLM-based mobile agents through adversarial multimodal content embedding.

JointCore method and JointCoreBench benchmark for interaction-aware memory selection in LLM agents, identifying jointly necessary evidence.

Audit of 11 open-weight agents reveals prompt injection failures are ignored (76-80%) rather than refused, masking security vulnerabilities in benchmarks.

FLARE: physics-grounded benchmark for evaluating LLM agents on electrical grid feeder restoration with incomplete observations across 78,750 episodes.

Nick Cammarata claims agent research disproves polysemanticity and advances interpretability and alignment.

Stack Overflow for Agents ChatGPT plugin tripled signups; two engineers shipped it in weeks using Codex.

LIBERO-PeRM benchmark for preference learning in robotic manipulation, evaluating zero-shot and learned preference satisfaction in embodied agents.

FDE-Gym benchmark of 95 real-world delivery tasks from 20 customer scenarios, evaluating agents on ambiguous requirements and live system constraints.

3DCodeVerse dataset and framework enable coding agents to generate, verify, and scale 3D executable code for spatial reasoning tasks.

KnowGPO assigns fine-grained credit to search agent decisions via knowledge-grouped policy optimization for multi-turn reasoning.

Four Gemini 4 Argon agents autonomously coordinate and defeat Minecraft Ender Dragon by writing 2,783 programs with no predefined roles or human logic.