Large Language Models

Computational Arbitrage in AI Model Markets

Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation

AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture

Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length

Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning

Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature

Benchmarking Multi-Agent LLM Architectures for Financial Document Processing: A Comparative Study of Orchestration Patterns, Cost-Accuracy Tradeoffs and Production Scaling Strategies

MuQ-Eval: An Open-Source Per-Sample Quality Metric for AI Music Generation Evaluation

Beyond Binary Correctness: Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks

Can LLM Agents Generate Real-World Evidence? Evaluating Observational Studies in Medical Databases

AgriPestDatabase-v1.0: A Structured Insect Dataset for Training Agricultural Large Language Model

Reliable Classroom AI via Neuro-Symbolic Multimodal Reasoning

Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts

Improving Safety Alignment via Balanced Direct Preference Optimization

CoMaTrack: Competitive Multi-Agent Game-Theoretic Tracking with Vision-Language-Action Models

Chain-of-Authorization: Internalizing Authorization into Large Language Models via Reasoning Trajectories

Dynamical Systems Theory Behind a Hierarchical Reasoning Model

Continuous Optimization for Satisfiability Modulo Theories on Linear Real Arithmetic

Separating Diagnosis from Control: Auditable Policy Adaptation in Agent-Based Simulations with LLM-Based Diagnostics

ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning

Ran Score: a LLM-based Evaluation Score for Radiology Report Generation

PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference

JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees

Can Large Language Models Reason and Optimize Under Constraints?

Minibal: Balanced Game-Playing Without Opponent Modeling

MedCausalX: Adaptive Causal Reasoning with Self-Reflection for Trustworthy Medical Vision-Language Models

Between Rules and Reality: On the Context Sensitivity of LLM Moral Judgment

Describe-Then-Act: Proactive Agent Steering via Distilled Language-Action World Models

SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation

LLM Olympiad: Why Model Evaluation Needs a Sealed Exam

RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue

Bilevel Autoresearch: Meta-Autoresearching Itself

Mecha-nudges for Machines

Automated Microservice Pattern Instance Detection Using Infrastructure-as-Code Artifacts and Large Language Models

Founder effects shape the evolutionary dynamics of multimodality in open LLM families

Evaluating Prompting Strategies for Chart Question Answering with Large Language Models

MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning

TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs

Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks

Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMs

Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores

Latent Semantic Manifolds in Large Language Models

Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models

CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News

UniFluids: Unified Neural Operator Learning with Conditional Flow-matching