Artificial Intelligence

Can Large Language Models Solve Engineering Equations? A Systematic Comparison of Direct Prediction and Solver-Assisted Approaches

📝 Original Info Title: Can Large Language Models Solve Engineering Equations? A Systematic Comparison of Direct Prediction and Solver-Assisted Approaches ArXiv ID: 2601.01774 Date: 2026-01-05 Authors: Sai Varun Kodathala, Rakesh Vunnam 📝 Abstract …

January 05, 2026

System Artificial Intelligence Computer Science Model

ChaosBench-Logic: A Benchmark for Logical and Symbolic Reasoning on Chaotic Dynamical Systems

📝 Original Info Title: ChaosBench-Logic: A Benchmark for Logical and Symbolic Reasoning on Chaotic Dynamical Systems ArXiv ID: 2601.01982 Date: 2026-01-05 Authors: Noel Thomas 📝 Abstract Large language models (LLMs) excel at natural language tasks …

January 05, 2026

Artificial Intelligence Computer Science System

COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs

📝 Original Info Title: COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs ArXiv ID: 2601.01836 Date: 2026-01-05 Authors: Dasol Choi, DongGeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, …

January 05, 2026

Framework Artificial Intelligence Computer Science

EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning

📝 Original Info Title: EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning ArXiv ID: 2601.02163 Date: 2026-01-05 Authors: Chuanrui Hu, Xingze Gao, Zuyi Zhou, Dannong Xu, Yi Bai, Xintong Li, Hui Zhang, Tong Li, …

January 05, 2026

Artificial Intelligence Computer Science System

Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling

📝 Original Info Title: Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling ArXiv ID: 2601.02346 Date: 2026-01-05 Authors: Falcon LLM Team, Iheb Chaabane, Puneesh Khanna, Suhail Mohmad, Slim Frikha, Shi Hu, …

January 05, 2026

Artificial Intelligence Computer Science Model

Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management

📝 Original Info Title: Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management ArXiv ID: 2601.02061 Date: 2026-01-05 Authors: Faizan Ahmed, Aniket Dixit, James Brusey 📝 Abstract Deep …

January 05, 2026

Artificial Intelligence Computer Science Learning

Jenius Agent: Towards Experience-Driven Accuracy Optimization in Real-World Scenarios

📝 Original Info Title: Jenius Agent: Towards Experience-Driven Accuracy Optimization in Real-World Scenarios ArXiv ID: 2601.01857 Date: 2026-01-05 Authors: Defei Xia, Bingfeng Pi, Shenbin Zhang, Song Hua, Yunfei Wei, Lei Zuo 📝 Abstract As agent …

Can Large Language Models Solve Engineering Equations? A Systematic Comparison of Direct Prediction and Solver-Assisted Approaches

ChaosBench-Logic: A Benchmark for Logical and Symbolic Reasoning on Chaotic Dynamical Systems

COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs

EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning

Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling

Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management

Jenius Agent: Towards Experience-Driven Accuracy Optimization in Real-World Scenarios

Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents

A unified multimodal understanding and generation model for cross-disciplinary scientific research

Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models

Empowering Small Language Models with Factual Hallucination-Aware Reasoning for Financial Classification

KGCE: Knowledge-Augmented Dual-Graph Evaluator for Cross-Platform Educational Agent Benchmarking with Multimodal Language Models

DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations

ElecTwit: A Framework for Studying Persuasion in Multi-Agent Social Systems

Adaptive Causal Coordination Detection for Social Media: A Memory-Guided Framework with Semi-Supervised Learning

An AI Monkey Gets Grapes for Sure -- Sphere Neural Networks for Reliable Decision-Making

ClinicalReTrial: A Self-Evolving AI Agent for Clinical Trial Protocol Optimization

Multiagent Reinforcement Learning for Liquidity Games

A study on constraint extraction and exception exclusion in care worker scheduling

Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control

Constructing a Neuro-Symbolic Mathematician from First Principles

GenZ: Foundational models as latent variable generators within traditional statistical models

Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem

MCPAgentBench: A Real-world Task Benchmark for Evaluating LLM Agent MCP Tool Use

Mortar: Evolving Mechanics for Automatic Game Design

Recursive Language Models

The Agentic Leash: Extracting Causal Feedback Fuzzy Cognitive Maps with LLMs

Universal Conditional Logic: A Formal Language for Prompt Engineering

Evaluating the Reasoning Abilities of LLMs on Underrepresented Mathematics Competition Problems

LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm

SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?

InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization

Why AI Safety Requires Uncertainty, Incomplete Preferences, and Non-Archimedean Utilities

Benchmark Success, Clinical Failure: When Reinforcement Learning Optimizes for Benchmarks, Not Patients

Geometric Structural Knowledge Graph Foundation Model

HiSciBench: A Hierarchical Multi-disciplinary Benchmark for Scientific Intelligence from Reading to Discovery

Multimodal Fact-Checking: An Agent-based Approach

OmniNeuro: A Multimodal HCI Framework for Explainable BCI Feedback via Generative AI and Sonification

Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K--12 Education

SAMP-HDRL: Segmented Allocation with Momentum-Adjusted Utility for Multi-agent Portfolio Management via Hierarchical Deep Reinforcement Learning

The Reward Model Selection Crisis in Personalized Alignment

Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework

Adversarially Guided Self-Play for Adopting Social Conventions

Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation

Search-Based Software Engineering for Self-Adaptive Systems: Survey, Disappointments, Suggestions and Opportunities

Benchmarking Symbolic Execution Using Constraint Problems -- Initial Results

Survey on Evaluation Methods for Dialogue Systems

Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline

I Feel I Feel You: A Theory of Mind Experiment in Games

Incremental Monoidal Grammars

Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

Join Query Optimization with Deep Reinforcement Learning Algorithms

Decision Automation for Electric Power Network Recovery

Private PAC learning implies finite Littlestone dimension

Machine Teaching: A New Paradigm for Building Machine Learning Systems

ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans

Cognitive Dynamic Systems: A Technical Review of Cognitive Radar

POMDP-lite for Robust Robot Planning under Uncertainty

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