Large Language Models

How to Reduce OpenClaw and Agent Token Costs

Introducing llms.txt to Shopify: Give AI a map to your best products

How To Identify Which LLM Is Actually Working For You [Webinar] via @sejournal, @hethr_campbell

Multiverse: Language-Conditioned Multi-Game Level Blending via Shared Representation

Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI

Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule Pruning

Transparency as Architecture: Structural Compliance Gaps in EU AI Act Article 50 II

FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?

When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring

The Price of Meaning: Why Every Semantic Memory System Forgets

MediHive: A Decentralized Agent Collective for Medical Reasoning

daVinci-LLM:Towards the Science of Pretraining

Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization

Quantification of Credal Uncertainty: A Distance-Based Approach

TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba

CounterMoral: Editing Morals in Language Models

Beyond Completion: Probing Cumulative State Tracking to Predict LLM Agent Performance

LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications

Defend: Automated Rebuttals for Peer Review with Minimal Author Guidance

Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring

Greedy Is a Strong Default: Agents as Iterative Optimizers

AstraAI: LLMs, Retrieval, and AST-Guided Assistance for HPC Codebases

Dual-Stage LLM Framework for Scenario-Centric Semantic Interpretation in Driving Assistance

DSevolve: Enabling Real-Time Adaptive Scheduling on Dynamic Shop Floor with LLM-Evolved Heuristic Portfolios

SkyNet: Belief-Aware Planning for Partially-Observable Stochastic Games

CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs

SARL: Label-Free Reinforcement Learning by Rewarding Reasoning Topology

When Choices Become Priors: Contrastive Decoding for Scientific Figure Multiple-Choice QA

Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners

Meta-Harness: End-to-End Optimization of Model Harnesses

SLOW: Strategic Logical-inference Open Workspace for Cognitive Adaptation in AI Tutoring

CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning

PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision

EpiPersona: Persona Projection and Episode Coupling for Pluralistic Preference Modeling

Reasoning as Energy Minimization over Structured Latent Trajectories

Evaluating LLMs for Answering Student Questions in Introductory Programming Courses

CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems

Deep Research of Deep Research: From Transformer to Agent, From AI to AI for Science

COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game

The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation

T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Lukasiewicz, Product, and G\"odel Semantics in a Neuro-Symbolic Reasoning System

MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models

Seeing with You: Perception-Reasoning Coevolution for Multimodal Reasoning

The Ultimate Tutorial for AI-driven Scale Development in Generative Psychometrics: Releasing AIGENIE from its Bottle

Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning

Exploring Cultural Variations in Moral Judgments with Large Language Models

SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs

M-RAG: Making RAG Faster, Stronger, and More Efficient