Multi-Agent Computer Use
Paper • 2606.01533 • Published • 8
07. IA agentica
-
-
OpenSkill: Open-World Self-Evolution for LLM Agents
Paper • 2606.06741 • Published • 30 -
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills
Paper • 2606.07412 • Published • 13 -
Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses
Paper • 2606.08348 • Published • 17 -
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Paper • 2606.07074 • Published • 13 -
Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory
Paper • 2606.06523 • Published • 8 -
Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
Paper • 2606.10917 • Published • 77 -
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts
Paper • 2606.05922 • Published • 72 -
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
Paper • 2606.11025 • Published • 42 -
Rethinking the Divergence Regularization in LLM RL
Paper • 2606.09821 • Published • 34 -
Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval
Paper • 2606.04391 • Published • 11 -
What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems
Paper • 2606.05304 • Published • 5 -
Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking
Paper • 2606.07689 • Published • 7 -
Dynamic Linear Attention
Paper • 2606.10650 • Published • 10 -
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
Paper • 2606.12191 • Published • 73 -
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
Paper • 2606.11926 • Published • 131 -
EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge
Paper • 2606.13120 • Published • 5 -
WebChallenger: A Reliable and Efficient Generalist Web Agent
Paper • 2606.10423 • Published • 3 -
Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
Paper • 2606.12370 • Published • 22 -
Large Language Models Are Overconfident in Their Own Responses
Paper • 2606.03437 • Published • 3 -
HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness
Paper • 2606.12882 • Published • 15 -
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment
Paper • 2606.10747 • Published • 13 -
LLM Agents Can See Code Repositories
Paper • 2606.14061 • Published • 21 -
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
Paper • 2606.06574 • Published • 26 -
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
Paper • 2606.14249 • Published • 52 -
APPO: Agentic Procedural Policy Optimization
Paper • 2606.12384 • Published • 79 -
CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks?
Paper • 2606.15300 • Published • 14 -
FastContext: Training Efficient Repository Explorer for Coding Agents
Paper • 2606.14066 • Published • 96 -
PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
Paper • 2606.22388 • Published • 97 -
DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams
Paper • 2606.21337 • Published • 76 -
CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
Paper • 2606.22883 • Published • 38 -
Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation
Paper • 2606.18844 • Published • 20 -
Self-Compacting Language Model Agents
Paper • 2606.23525 • Published • 19 -
Causal Discovery in the Era of Agents
Paper • 2606.23608 • Published • 8 -
FastMix: Fast Data Mixture Optimization via Gradient Descent
Paper • 2606.14971 • Published • 4 -
DanceOPD: On-Policy Generative Field Distillation
Paper • 2606.27377 • Published • 84 -
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning
Paper • 2606.26790 • Published • 59 -
The Verification Horizon: No Silver Bullet for Coding Agent Rewards
Paper • 2606.26300 • Published • 53 -
PhysiFormer: Learning to Simulate Mechanics in World Space
Paper • 2606.27364 • Published • 12 -
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models
Paper • 2606.27288 • Published • 5 -
Are We Ready For An Agent-Native Memory System?
Paper • 2606.24775 • Published • 138 -
Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents
Paper • 2606.22953 • Published • 1 -
Forecasting Future Behavior as a Learning Task
Paper • 2606.11445 • Published • 2 -
Qwen-AgentWorld: Language World Models for General Agents
Paper • 2606.24597 • Published • 163 -
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning
Paper • 2606.24428 • Published • 53 -
OpenThoughts-Agent: Data Recipes for Agentic Models
Paper • 2606.24855 • Published • 49 -
Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs
Paper • 2606.27378 • Published • 61 -
Towards Automating Scientific Review with Google's Paper Assistant Tool
Paper • 2606.28277 • Published • 12 -
Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM Serving
Paper • 2606.27457 • Published • 5 -
MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
Paper • 2607.01071 • Published • 31 -
Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning
Paper • 2607.00461 • Published • 30 -
CausalMix: Data Mixture as Causal Inference for Language Model Training
Paper • 2607.01104 • Published • 22 -
The State-Prediction Separation Hypothesis
Paper • 2607.01218 • Published • 13 -
AutoTrainess: Teaching Language Models to Improve Language Models Autonomously
Paper • 2606.31551 • Published • 25 -
Valdi: Value Diffusion World Models
Paper • 2607.00917 • Published • 16 -
Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?
Paper • 2607.01211 • Published • 14 -
Autonomous Scientific Discovery via Iterative Meta-Reflection
Paper • 2607.01131 • Published • 9 -
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
Paper • 2606.32029 • Published • 15 -
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
Paper • 2606.29082 • Published • 44 -
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation
Paper • 2606.23127 • Published • 27 -
Little Brains, Big Feats: Exploring Compact Language Models
Paper • 2606.30062 • Published • 17 -
Hierarchical Experimentalist Agents
Paper • 2606.29315 • Published • 6 -
SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use
Paper • 2607.01874 • Published • 24 -
PACE: A Proxy for Agentic Capability Evaluation
Paper • 2607.02032 • Published • 21 -
When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
Paper • 2606.27669 • Published • 17 -
Mental World Modeling
Paper • 2607.27201 • Published • 111 -
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Paper • 2608.05987 • Published • 103 -
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
Paper • 2608.05102 • Published • 69 -
Weak-to-Strong On-Policy Distillation
Paper • 2607.26246 • Published • 59 -
Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes
Paper • 2608.05000 • Published • 64 -
Progressive Agent Skill Generation via Reinforcement Learning
Paper • 2608.01678 • Published • 62 -
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization
Paper • 2608.06301 • Published • 36 -
WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity
Paper • 2608.02603 • Published • 36 -
OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents
Paper • 2608.05013 • Published • 38 -
GDPevo: Evaluating Agent Self-Evolution on Real Business Tasks
Paper • 2608.03764 • Published • 28 -
Continual Learning in Transition
Paper • 2608.06216 • Published • 27 -
AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?
Paper • 2608.00155 • Published • 26 -
CADENA: Stepwise CAD Reverse Engineering
Paper • 2608.00799 • Published • 43 -
Kimi K3: Open Frontier Intelligence
Paper • 2607.24653 • Published • 523 -
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
Paper • 2607.02512 • Published • 310 -
Metis: Memory Foundation Model
Paper • 2607.26760 • Published • 276 -
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable
Paper • 2607.13285 • Published • 236 -
AREX: Towards a Recursively Self-Improving Agent for Deep Research
Paper • 2607.21461 • Published • 157 -
DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines
Paper • 2607.16617 • Published • 146 -
Weak-to-Strong Generalization via Direct On-Policy Distillation
Paper • 2607.05394 • Published • 150 -
EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World
Paper • 2607.17250 • Published • 94 -
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Paper • 2607.05382 • Published • 89 -
ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
Paper • 2607.04438 • Published • 65 -
Skaling: Chinchilla's Exponents Meet Kaplan's Coupling
Paper • 2608.07222 • Published • 14 -
Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors
Paper • 2608.00675 • Published • 11 -
The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows
Paper • 2608.06714 • Published • 11 -
Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding
Paper • 2608.06501 • Published • 4 -
CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
Paper • 2608.09848 • Published • 7 -
Don't Scroll Back: Missing-Evidence Memory for Streaming Dialogue Summarization
Paper • 2608.09043 • Published • 8 -
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Paper • 2608.09888 • Published • 783 -
Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory
Paper • 2608.07169 • Published • 51 -
Motif 3: Technical Report
Paper • 2608.09119 • Published • 48 -
Scaling Inherently Interpretable Language Models
Paper • 2608.07594 • Published • 22 -
Stealing Reasoning Traces from Proprietary LLM APIs
Paper • 2608.09867 • Published • 119 -
Evo-Bench: Can Language Models Improve Agent Harness?
Paper • 2608.09096 • Published • 19 -
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
Paper • 2608.10915 • Published • 195 -
Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design
Paper • 2608.10299 • Published • 137 -
Mendel Gödel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution
Paper • 2608.07645 • Published • 28 -
VibeLifeBench: Can Your Life Agent Be Proactive and Persistent in a Living World?
Paper • 2608.10875 • Published • 18 -
Decoding-Level Taboo: A Diagnostic Stress Test for LLM Robustness
Paper • 2608.09900 • Published • 13 -
SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information
Paper • 2608.10692 • Published • 13 -
Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents
Paper • 2608.08389 • Published • 12 -
DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation
Paper • 2608.10636 • Published • 11 -
DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?
Paper • 2608.10366 • Published • 11 -
Gaze Target Estimation Anywhere with Concepts
Paper • 2608.11367 • Published • 5 -
SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries
Paper • 2608.05604 • Published • 80 -
Can LLM Agents Stick to the Script? A Benchmark for Long-Horizon Consistency in Interactive Narratives
Paper • 2608.08160 • Published • 30 -
Self-Evolving Embodied Agents via Skill-Harness Evolution
Paper • 2608.11350 • Published • 15 -
AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
Paper • 2608.12307 • Published • 115 -
DarwinX: Evolving Agent Harnesses Through Natural Selection
Paper • 2608.07545 • Published • 115 -
AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design
Paper • 2608.13560 • Published • 64 -
Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence
Paper • 2608.12743 • Published • 44 -
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
Paper • 2608.12990 • Published • 14 -
Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning
Paper • 2607.29211 • Published • 14 -
Marionette: Predicting World States, Rendering Geometry, Painting Appearance
Paper • 2608.14530 • Published • 35 -
Apodex Discovery: Reality Benchmarks and Environments for Evaluating and Building Discoverative Artificial Intelligence
Paper • 2608.11341 • Published • 70 -
Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning
Paper • 2608.14290 • Published • 35 -
Second Thought: Reasoning in Parallel as LLM Agents Act and Observe
Paper • 2608.13667 • Published • 17 -
Multimodal Model Diffing for Feature Discovery and Control
Paper • 2608.09928 • Published • 11 -
Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems
Paper • 2608.03744 • Published • 6 -
A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images
Paper • 2608.14075 • Published • 5 -
UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations
Paper • 2608.10835 • Published • 4 -
StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling
Paper • 2608.15089 • Published • 447 -
Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search
Paper • 2608.15669 • Published • 63 -
Demystifying Agent Skills: Why They Work-Until They Don't
Paper • 2608.14036 • Published • 170 -
Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements
Paper • 2608.17310 • Published • 108 -
Agent Lightning v1.0: Towards Harnessed Agentic RL
Paper • 2608.17528 • Published • 35 -
SkillForge: Self-Distilling Agents for Project-Specific Issue Resolution
Paper • 2608.18933 • Published • 13 -
HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety
Paper • 2608.17597 • Published • 10 -
StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows
Paper • 2608.17800 • Published • 11 -
From Sequence to Structure: Relational Uncertainty Propagation for LLM Agents
Paper • 2608.16002 • Published • 7 -
The More Popular, The Harder to Forget: Adaptive Popularity for LLM Unlearning
Paper • 2608.14229 • Published • 17 -
LLMs Get Smarter from Targeted Synthetic Multilingual Data
Paper • 2608.15964 • Published • 6 -
The Embedder's Dilemma: LLMs Are Better, but at What Cost?
Paper • 2608.12875 • Published • 15 -
EnvHarness: Awakening Static Worlds for Agent Learning
Paper • 2608.19880 • Published • 276 -
TinyCast: Probabilistic Zero-Shot Forecasting with Computed Periodicity
Paper • 2608.15767 • Published • 9 -
FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills
Paper • 2607.21596 • Published • 21 -
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
Paper • 2608.23041 • Published • 64 -
Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
Paper • 2608.24876 • Published • 30 -
CAFE: Self-Improving Search Agents Need Co-Evolving Feedback
Paper • 2608.24794 • Published • 6 -
Automata from Agent Traces: Failure and Next-Step Prediction
Paper • 2608.23670 • Published • 5 -
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
Paper • 2608.23691 • Published • 3 -
JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution
Paper • 2608.25593 • Published • 117 -
FrontierChallenge: Evaluating Scientific Workflow Completion
Paper • 2608.24979 • Published • 149 -
Agent-G^2: Gaussian Guidance for Agentic Reinforcement Learning
Paper • 2608.23318 • Published • 32 -
Code World Model: Coding Agent as World Brain
Paper • 2608.25927 • Published • 39 -
Video-IFBench: Evaluating Instruction Following of Multimodal LLMs in Video Understanding Scenarios
Paper • 2608.25529 • Published • 17 -
A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
Paper • 2608.21140 • Published • 5 -
Real-TurnTurk: A Multimodal Turkish Corpus for Turn-Taking Prediction
Paper • 2608.22071 • Published -
PAWBench: How Far Are We from Probabilistically Aligned World Modeling?
Paper • 2608.27345 • Published • 146 -
Training Agents to Evolve with Their Harness: TaoLive Digital Avatar Agent Technical Report
Paper • 2608.15763 • Published • 54 -
CaRGo-T: Causal Reasoning Graph-of-Thought improves Multimodal Humor Comprehension
Paper • 2608.23172 • Published • 10 -
LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering
Paper • 2608.28281 • Published • 106 -
Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities
Paper • 2608.28122 • Published • 67 -
J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data
Paper • 2608.26582 • Published • 45 -
StarHarness: Evolving Harnesses with Stratified Search for Enterprise Environments
Paper • 2608.24804 • Published • 41 -
Fast Weight Attention for Continual Learning
Paper • 2608.27763 • Published • 33 -
Evaluating the Hidden Costs of Personalization in Large Language Models
Paper • 2608.28833 • Published • 30 -
WebWorld: The Browser as a World Model for Self-Improving Web Code
Paper • 2608.30530 • Published • 10 -
The Safeguard Worked. Is the LLM System Safer?
Paper • 2609.00519 • Published • 5 -
StudentSim: Training LLM-based Student Simulators
Paper • 2609.01591 • Published • 493 -
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving
Paper • 2609.00111 • Published • 386 -
From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix
Paper • 2609.01572 • Published • 36 -
Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching
Paper • 2609.01404 • Published • 28 -
Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement
Paper • 2609.01481 • Published • 19 -
AgentJudgeBench: A Multi-Difficulty Benchmark for Evaluating LLM Judges on Agentic Tool-Calling
Paper • 2608.26623 • Published • 21 -
E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation
Paper • 2608.30730 • Published • 18 -
Agents in the Large: Perception-Centered Architecture for Persistent Agents
Paper • 2608.30478 • Published • 11 -
Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs
Paper • 2609.00621 • Published • 9 -
Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry
Paper • 2608.30457 • Published • 9 -
Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data
Paper • 2608.31082 • Published • 5 -
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Paper • 2609.02749 • Published • 555 -
HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?
Paper • 2609.01437 • Published • 269 -
Aspire: Can Models Self-Evolve from Vague Goals?
Paper • 2608.31111 • Published • 232 -
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction
Paper • 2609.02783 • Published • 120 -
SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models
Paper • 2609.02886 • Published • 152 -
Language Models Can Control Their Own Attention
Paper • 2609.02737 • Published • 75 -
Ignorance or Incompetence? Constructing Knowledge-Gated, Verifiable Tasks for LLM Agents
Paper • 2608.30322 • Published • 4 -
FoldingAgent: Inferring Parametric Origami Procedures from Demonstration Videos
Paper • 2609.00377 • Published • 4 -
Portfolio Risk Bounds without Cross-Asset Return Covariances: Distributional Fields from Language-Model Representations
Paper • 2608.29692 • Published • 2 -
Environment Evolution for Terminal Agents
Paper • 2609.04128 • Published • 22 -
Using Grounded Theory for Agent Behavior Analysis at Scale
Paper • 2608.30391 • Published • 19 -
Enoki: Efficient Multi-Level Hallucination Detection
Paper • 2609.00581 • Published • 28 -
Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization
Paper • 2609.05258 • Published • 21 -
Causal Foundation Models
Paper • 2609.03003 • Published • 31 -
Safety for Whom? Boundary-Aware Self-Distillation for Controlled LLM Safety Refusal
Paper • 2609.04482 • Published • 12 -
EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA Agents
Paper • 2609.01281 • Published • 16 -
Omni Interaction Agent Technical Report
Paper • 2609.08977 • Published • 134 -
OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining
Paper • 2609.07398 • Published • 77 -
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
Paper • 2609.09153 • Published • 41 -
Agentic Visual Generation: From Generative Models to Agentic Control
Paper • 2609.06758 • Published • 36 -
Steering Geometry: Validating Human Value Geometry in LLM Steering Space
Paper • 2609.06289 • Published • 33 -
Kalman Delta Networks: Uncertainty-aware Associative Memory
Paper • 2609.07816 • Published • 29 -
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets
Paper • 2609.05663 • Published • 22 -
SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions
Paper • 2510.08999 • Published • 21 -
MOLE: Detecting Insider Threats in AI Agents
Paper • 2609.06966 • Published • 19 -
Graph Machine: Towards Better Pretraining via Edges
Paper • 2609.02881 • Published • 7 -
Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions
Paper • 2609.06140 • Published • 7 -
Scaling Automatic Research Agents via World Models
Paper • 2608.12564 • Published • 458 -
AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems
Paper • 2609.08572 • Published • 95 -
T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks
Paper • 2609.11042 • Published • 58 -
SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents
Paper • 2609.08149 • Published • 28 -
PARSER: Read in Parallel, Reason in Depth for Long-Context LLM Agents
Paper • 2609.06702 • Published • 24 -
Φ-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?
Paper • 2609.10226 • Published • 21 -
SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?
Paper • 2609.09113 • Published • 20 -
Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning
Paper • 2609.06806 • Published • 10 -
Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails
Paper • 2609.09134 • Published • 10 -
DF26: We Cannot Tell Fake From Real Anymore
Paper • 2609.07369 • Published • 6 -
SenseNova-U1.5: Towards Native Unified Visual Intelligence
Paper • 2609.11929 • Published • 259 -
SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem
Paper • 2609.07064 • Published • 141 -
EvoSafeHarness: Evolving Model- and Domain-Specific Harnesses for Securing Agents
Paper • 2609.05903 • Published • 62 -
DRG-MAPPO: Hierarchical Dynamic Role-Graph Multi-Agent Reinforcement Learning for Cooperative Air Combat
Paper • 2609.11155 • Published • 25 -
An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics
Paper • 2609.10712 • Published • 43