惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Microsoft Security Blog
Microsoft Security Blog
Forbes - Security
Forbes - Security
月光博客
月光博客
WordPress大学
WordPress大学
Last Week in AI
Last Week in AI
罗
罗磊的独立博客
V
Visual Studio Blog
Help Net Security
Help Net Security
宝玉的分享
宝玉的分享
H
Heimdal Security Blog
The Last Watchdog
The Last Watchdog
V
V2EX - 技术
S
SegmentFault 最新的问题
爱范儿
爱范儿
C
Check Point Blog
GbyAI
GbyAI
L
LINUX DO - 最新话题
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
W
WeLiveSecurity
Martin Fowler
Martin Fowler
Google Online Security Blog
Google Online Security Blog
F
Fortinet All Blogs
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Google DeepMind News
Google DeepMind News
aimingoo的专栏
aimingoo的专栏
H
Hacker News: Front Page
M
MIT News - Artificial intelligence
T
Threatpost
IT之家
IT之家
AI
AI
P
Privacy & Cybersecurity Law Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
美
美团技术团队
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Stack Overflow Blog
Stack Overflow Blog
博
博客园 - 叶小钗
云风的 BLOG
云风的 BLOG
The Hacker News
The Hacker News
N
News and Events Feed by Topic
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
大猫的无限游戏
大猫的无限游戏
C
CXSECURITY Database RSS Feed - CXSecurity.com
S
Security Archives - TechRepublic
T
The Blog of Author Tim Ferriss
Cloudbric
Cloudbric
博
博客园_首页
Hugging Face - Blog
Hugging Face - Blog
G
GRAHAM CLULEY
V
V2EX
钛媒体：引领未来商业与生活新知
钛媒体：引领未来商业与生活新知

cs.AI updates on arXiv.org

Detecting Safety Violations Across Many Agent Traces C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks Discourse Diversity in Multi-Turn Empathic Dialogue Evaluating Cooperation in LLM Social Groups through Elected Leadership SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical Systems Legal2LogicICL: Improving Generalization in Transforming Legal Cases to Logical Formulas via Diverse Few-Shot Learning Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind RPA-Check: A Multi-Stage Automated Framework for Evaluating Dynamic LLM-based Role-Playing Agents A Triadic Suffix Tokenization Scheme for Numerical Reasoning Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models Quantization Dominates Rank Reduction for KV-Cache Compression Anthropogenic Regional Adaptation in Multimodal Vision-Language Model Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method CocoaBench: Evaluating Unified Digital Agents in the Wild MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing Colleges Efficient Training for Cross-lingual Speech Language Models Guardrails Beat Guidance: A Large-Scale Study of Rules, Skills, and Persistent Configuration for Coding Agents Towards Proactive Information Probing: Customer Service Chatbots Harvesting Value from Conversation Shared Emotion Geometry Across Small Language Models: A Cross-Architecture Study of Representation, Behavior, and Methodological Confounds A Systematic Analysis of the Impact of Persona Steering on LLM Capabilities Uncertainty-Aware Web-Conditioned Scientific Fact-Checking Min-$k$ Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies When Verification Fails: How Compositionally Infeasible Claims Escape Rejection Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning A molecular clock for writing systems reveals the quantitative impact of imperial power on cultural evolution Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval AOP-Smart: A RAG-Enhanced Large Language Model Framework for Adverse Outcome Pathway Analysis Speaking to No One: Ontological Dissonance and the Double Bind of Conversational AI Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series TInR: Exploring Tool-Internalized Reasoning in Large Language Models Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents Learning and Enforcing Context-Sensitive Control for LLMs Efficient Process Reward Modeling via Contrastive Mutual Information Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment NSFL: A Post-Training Neuro-Symbolic Fuzzy Logic Framework for Boolean Operators in Neural Embeddings Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance Calibration Collapse Under Sycophancy Fine-Tuning: How Reward Hacking Breaks Uncertainty Quantification in LLMs Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models LLMs Should Incorporate Explicit Mechanisms for Human Empathy AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning The Amazing Agent Race: Strong Tool Users, Weak Navigators Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities CircuitSynth: Reliable Synthetic Data Generation ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension CoSToM:Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks Demographic and Linguistic Bias Evaluation in Omnimodal Language Models Cross-Cultural Value Awareness in Large Vision-Language Models From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping Should We be Pedantic About Reasoning Errors in Machine Translation? Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards COMPOSITE-Stem GIANTS: Generative Insight Anticipation from Scientific Literature Pioneer Agent: Continual Improvement of Small Language Models in Production SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning Many-Tier Instruction Hierarchy in LLM Agents Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories PhysInOne: Visual Physics Learning and Reasoning in One Suite Neural Distribution Prior for LiDAR Out-of-Distribution Detection Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA
BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization
Minchan Jung, Kwangki Kim · 2024-10-09 · via cs.AI updates on arXiv.org

This paper introduces the Bidirectional Clustered MPPI (BiC-MPPI) algorithm, a novel trajectory optimization method aimed at enhancing goal-directed guidance within the Model Predictive Path Integral (MPPI) framework. BiC-MPPI incorporates bidirectional dynamics approximations and a new guide cost mechanism, improving both trajectory planning and goal-reaching performance. By leveraging forward and backward rollouts, the bidirectional approach ensures effective trajectory connections between initial and terminal states, while the guide cost helps discover dynamically feasible paths. Experimental results demonstrate that BiC-MPPI outperforms existing MPPI variants in both 2D and 3D environments, achieving higher success rates and competitive computation times across 900 simulations on a modified BARN dataset for autonomous navigation. GitHub: https://github.com/i-ASL/BiC-MPPI

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。