All Articles
17809 articles total
Understanding Rollout Error in Graph World Models
Researchers propose Error-Aware Graph World Models (GWMs) to reduce rollout error and planning regret in environments represented as graphs.
Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents
The Grounded Iterative Language Planning (GILP) framework combines parameterized world models with LLM reasoning to significantly reduce hallucinations in agents.
ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents
ATOD is a new hybrid distillation algorithm that blends on-policy distillation and RL to improve the training of small language-model agents for long-horizon tasks.
NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning
The NormAct benchmark evaluates whether embodied AI agents can comply with hidden social norms, introducing NormPerceptor to help agents detect such norms.
Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing
SD-GPS is a solver-driven framework for geometry problem solving that uses a symbolic solver as an execution oracle to improve autoformalization and theorem proposing.
RelBall: Relation Ball with Quaternion Rotation for Knowledge Graph Completion
RelBall is introduced as a Knowledge Graph Completion model using quaternion rotations and modulus transformations to better handle complex relational patterns and hierarchies.
Lifted Causal Inference
The paper introduces Lifted Causal Inference (LCI) using parametric causal factor graphs to efficiently compute causal effects in relational domains.
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications
JD.com details Oxygen AIIC, an industrial-scale LLM/VLM-centric platform for managing item knowledge across billions of SKUs.
Ontology-Guided Evidence Path Inference for Multi-hop Knowledge Graph Question Answering
The OPI framework uses ontology-guided evidence path inference to reduce the search space and improve accuracy in multi-hop knowledge graph question answering.
Age verification is just a precursor to automated attribution of speech
A discussion on how age verification requirements may lead to the automated attribution of speech and loss of online anonymity.
Idler Magazine
A mention of Idler Magazine, likely a general interest or lifestyle publication.
AI-Model Network: Concept, Current State and Future
Proposes AI-ModelNet, a novel paradigm for interconnecting heterogeneous AI models to enable capability sharing and collaborative reasoning.
When Does Personality Composition Matter for Multi-Agent LLM Teams?
Studies how personality traits in multi-agent LLM teams affect task performance, finding that impact varies significantly by task structure.
Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning
Introduces a three-stage training paradigm to give LLM agents internal world models for better prospective planning in long-horizon tasks.
Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models
Presents ODYSSEY, a categorical framework for constructing verifiable local truth-preserving foundation models using foundries and Kan extensions.
DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
Proposes DysLexLens, a low-resource LLM framework for analyzing dyslexic learners' experiences with AI tools using forum data.
MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy
Introduces MER-R1, an RL framework for multimodal emotion recognition that optimizes the synergy between 'fast' intuition and 'slow' reasoning.
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation
Presents the Tree of Evidence (ToE) framework for automated fact-checking to combat AI-generated misinformation and GEO poisoning.
Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework
Proposes a symbolic feedback-driven self-refinement framework to improve the reliability and feasibility of LLM planning in long-horizon tasks.
Tell Congress: Don't Force Age Checks Online
A discussion urging Congress not to implement mandatory online age verification checks.