All Articles
17566 articles total
Robust Feasible Route Construction through Collaborative Partition Optimization
Collaborative Routing Constructors (CoRC) is a new framework for solving large-scale Capacitated Vehicle Routing Problems by allowing subproblems to exchange customers and vehicles.
Tiny-C Reference Manual Excerpt
An excerpt from the Tiny-C reference manual, likely focusing on language specifications or implementation details.
Evaluating Generative Agents with Actions Grounded in Socially Distributed Task Environments using Incognita
Introduces Incognita, a framework for evaluating generative agents in socially distributed task environments where knowledge is partitioned among participants.
Reinforcement Learning for Evidence-Seeking Diagnostic Reasoning with Large Language Models
Proposes a framework for medical diagnosis using RLVR and introduces RAGES, a retrieval-augmented examination simulator for biologically plausible feedback.
Beyond Forecasting: The Belief-to-Trade Layer in Prediction-Market Agents
Presents Raven-Agent, an autonomous trading agent for prediction markets that outperforms other policies in risk-adjusted returns.
Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making
Describes the Human-Centric Reflective Architecture (HCRA) to improve human-AI collaborative decision-making through iterative, reflective RL processes.
Silicon Sampling via Cross-Survey Transfer
Evaluates 'silicon sampling' (LLMs simulating survey respondents) using a cross-survey transfer framework to test individual-level predictability.
APeB: Benchmarking Personalization Ability of Large Language Model Agents
Introduces APeB, a benchmark for measuring the personalization abilities of LLM agents in product search tasks using underspecified queries.
Organizational Memory for Agentic Business Process Execution
Proposes an 'organizational memory' architecture to store and govern shared procedural knowledge for LLM-based business process execution.
Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems
Defines 'embodied operators' as reusable functional modules for robotics and proposes a taxonomy and benchmark for evaluating them.
Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming
Studies the impact of Socratic-Guidance vs. Prompt-Refinement tutors on students' ability to use LLMs for programming independently.
iFLYTEK-Embodied-Omni Technical Report
iFLYTEK-Embodied-Omni is a unified multimodal foundation model that jointly models vision, language, and action for general-purpose embodied agents.
Internal Pluralism and the Limits of Pairwise Comparisons
This research explores the limitations of pairwise comparisons in preference learning, proposing a model that accounts for internal pluralism and indecision.
ASK in the Dark: Uncertainty-Gated LLM Assistance under Partial Observability
The ASK+ framework improves SLM-guided reinforcement learning agents under partial observability by providing trajectory-aware context and structured chain-of-thought reasoning.
Automated Data Readiness for Scientific AI
REDI is an open-source framework for automating the transformation and readiness assessment of large-scale scientific datasets for AI training.
SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery
SwarmResearch introduces an orchestrator-subagent harness that uses a Shepherd Agent to steer a population of Search Agents for open-ended coding discovery.
Object-Centric Environment Modeling for Agentic Tasks
Object-Centric Environment Modeling (OCM) enables LLM agents to build executable object-centric models of their environment to improve interaction and reduce invalid actions.
MedCalc-Pro: Solving Complex Medical Calculations with LLM Agents
MedCalc-Pro is a new benchmark and agent framework designed to solve complex medical calculations requiring multi-tool selection and nested-tool calling.
Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models
Oyster-II is a reinforcement learning-based constructive safety alignment framework for LLMs that avoids blanket refusals while maintaining high safety and helpfulness.
VERITAS: Towards a General-Purpose Replication Tool for Scientific Research
VERITAS is a domain-agnostic replication framework using CLI coding agents to automate the independent verification of scientific research claims.