RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users

AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability

Can LLMs Assist Expert Elicitation for Probabilistic Causal Modeling?

Heimdall: test-time scaling on the generative verification

AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference

Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?

The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance

Breaking the Data Barrier -- Building GUI Agents Through Task Generalization

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework

Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning

CHARM: Calibrating Reward Models With Chatbot Arena Scores

Reasoning Models Can Be Effective Without Thinking

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning

(How) Do reasoning models reason?

Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals

MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?

EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety

Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN

Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws

A Two-Stage Interpretable Matching Framework for Causal Inference

Efficient LLM Serving on Hybrid Real-time and Best-effort Requests

Reduction of Supervision for Biomedical Knowledge Discovery

Improved FOX Optimization Algorithm

Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation

Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs

Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection

Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels

Graph Learning-Driven Multi-Vessel Association: Fusing Multimodal Data for Maritime Intelligence

Continuum-Interaction-Driven Intelligence: Human-Aligned Neural Architecture via Crystallized Reasoning and Fluid Generation

A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions

Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement

An Enhanced Iterative Deepening Search Algorithm for the Unrestricted Container Rehandling Problem

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems

Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict

Hybrid AI-Physical Modeling for Penetration Bias Correction in X-band InSAR DEMs: A Greenland Case Study

Endowing Embodied Agents with Spatial Reasoning Capabilities for Vision-and-Language Navigation

GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights

Latency-Aware 2-Opt Monotonic Local Search for Distributed Constraint Optimization

Weight Ensembling Improves Reasoning in Language Models

Multimodal Long Video Modeling Based on Temporal Dynamic Context

LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models

Can We Edit LLMs for Long-Tail Biomedical Knowledge?

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning

Performance of Large Language Models in Supporting Medical Diagnosis and Treatment

LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Teacher Motion Priors: Enhancing Robot Locomotion over Challenging Terrain

S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models

FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos

Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families

AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis

Characterizing LLM-driven Social Network: The Chirper.ai Case

Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials

RealHarm: A Collection of Real-World Language Model Application Failures

Vision based driving agent for race car simulation environments

MASSeg : 2nd Technical Report for 4th PVUW MOSE Track

Localized Cultural Knowledge is Conserved and Controllable in Large Language Models

Efficient Generative Model Training via Embedded Representation Warmup

Deep Reasoning Translation via Reinforcement Learning

LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks

HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection

C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation

WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts

BoTTA: Benchmarking on-device Test Time Adaptation

GeoUni: A Unified Model for Generating Geometry Diagrams, Problems and Problem Solutions

Benchmarking Practices in LLM-driven Offensive Security: Testbeds, Metrics, and Experiment Design

Lightweight Trustworthy Distributed Clustering

SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding

Towards Quantifying Commonsense Reasoning with Mechanistic Insights

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Hallucination Detection in LLMs via Topological Divergence on Attention Graphs

EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control

Sequence models for by-trial decoding of cognitive strategies from neural data

Progressive Transfer Learning for Multi-Pass Fundus Image Restoration

The Mirage of Performance Gains: Why Contrastive Decoding Fails to Address Multimodal Hallucination

RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework

Air Quality Prediction with A Meteorology-Guided Modality-Decoupled Spatio-Temporal Network

Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space

Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?

Metric-Guided Synthesis of Class Activation Mapping

GenTe: Generative Real-world Terrains for General Legged Robot Locomotion Control

Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data

Towards Unbiased Federated Graph Learning: Label and Topology Perspectives

Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science

Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes

FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments

KeepKV: Eliminating Output Perturbation in KV Cache Compression for Efficient LLMs Inference

Quantum Natural Language Processing: A Comprehensive Review of Models, Methods, and Applications

Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming

Learning from Reference Answers: Versatile Language Model Alignment without Binary Human Preference Data

LangPert: Detecting and Handling Task-level Perturbations for Robust Object Rearrangement

HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation

Constructing Micro Knowledge Graphs from Technical Support Documents

Truncated Matrix Completion - An Empirical Study

Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects

SUMART: SUMmARizing Translation from Wordy to Concise Expression

Working with Large Language Models to Enhance Messaging Effectiveness for Vaccine Confidence

PestMA: LLM-based Multi-Agent System for Informed Pest Management

Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals

OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training

StruPhantom: Evolutionary Injection Attacks on Black-Box Tabular Agents Powered by Large Language Models

SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis

Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand

Efficient Multi-Task Modeling through Automated Fusion of Trained Models

See or Recall: A Sanity Check for the Role of Vision in Solving Visualization Question Answer Tasks with Multimodal LLMs

Training Small Reasoning LLMs with Cognitive Preference Alignment

Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks

IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

EquiVDM: Equivariant Video Diffusion Models with Temporally Consistent Noise

Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning

"All Roads Lead to ChatGPT": How Generative AI is Eroding Social Interactions and Student Learning Communities

Reasoning without Regret

Understanding and Optimizing Multi-Stage AI Inference Pipelines

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems

Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance

Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention

Dynamik: Syntactically-Driven Dynamic Font Sizing for Emphasis of Key Information

Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration

Dominated Actions in Imperfect-Information Games

Evaluating the Quality of Benchmark Datasets for Low-Resource Languages: A Case Study on Turkish

Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis

The Structural Safety Generalization Problem

Migrating Code At Scale With LLMs At Google

Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?

SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks

AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations

Myanmar XNLI: Building a Dataset and Exploring Low-resource Approaches to Natural Language Inference with Myanmar

Slow Thinking for Sequential Recommendation

Ges3ViG: Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding

Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference

A highly maneuverable flying squirrel drone with agility-improving foldable wings

Fine-tuning an Large Language Model for Automating Computational Fluid Dynamics Simulations

TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting

AirVista-II: An Agentic System for Embodied UAVs Toward Dynamic Scene Semantic Understanding

A simulation-heuristics dual-process model for intuitive physics

Embodied Chain of Action Reasoning with Multi-Modal Foundation Model for Humanoid Loco-manipulation

How new data permeates LLM knowledge and how to dilute it

Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning for optimal decision-making

Federated Prototype Graph Learning

HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs

Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation

A highly maneuverable flying squirrel drone with controllable foldable wings

MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions

Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis

Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach

FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning

ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model

Composable NLP Workflows for BERT-based Ranking and QA System

REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis

Question Tokens Deserve More Attention: Enhancing Large Language Models without Training through Step-by-Step Reading and Question Attention Recalibration

Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes

Explorer: Robust Collection of Interactable GUI Elements

MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints

"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services

Confirmation Bias in Generative AI Chatbots: Mechanisms, Risks, Mitigation Strategies, and Future Research Directions

Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders

Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices

Development of a PPO-Reinforcement Learned Walking Tripedal Soft-Legged Robot using SOFA

AMNet: An Acoustic Model Network for Enhanced Mandarin Speech Synthesis

FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training

DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models

AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images

ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking

Repetitive Contrastive Learning Enhances Mamba's Selectivity in Time Series Prediction

Parameterized Synthetic Text Generation with SimpleStories

A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification

Can postgraduate translation students identify machine-generated text?

Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE

Privacy Preservation in Gen AI Applications

SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning

PQS (Prune, Quantize, and Sort): Low-Bitwidth Accumulation of Dot Products in Neural Network Computations

A Practical Approach to using Supervised Machine Learning Models to Classify Aviation Safety Occurrences

Multimodal 3D Genome Pre-training

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization

Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

MCP Bridge: A Lightweight, LLM-Agnostic RESTful Proxy for Model Context Protocol Servers

Learning from Elders: Making an LLM-powered Chatbot for Retirement Communities more Accessible through User-centered Design

AGENT: An Aerial Vehicle Generation and Design Tool Using Large Language Models

On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion

MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer

Generating Planning Feedback for Open-Ended Programming Exercises with LLMs

Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables

Investigating the Treacherous Turn in Deep Reinforcement Learning

Long Context In-Context Compression by Getting to the Gist of Gisting

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories

Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality

A convergence law for continuous logic and continuous structures with finite domains

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations

HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules

Robust SAM: On the Adversarial Robustness of Vision Foundation Models

Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries

Distilling and exploiting quantitative insights from Large Language Models for enhanced Bayesian optimization of chemical reactions

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data

An LLM Framework For Cryptography Over Chat Channels

On Transfer-based Universal Attacks in Pure Black-box Setting

An Evaluation of Cultural Value Alignment in LLM

RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation

Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges

A Nonlinear Hash-based Optimization Method for SpMV on GPUs

PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models

Examining GPT's Capability to Generate and Map Course Concepts and Their Relationship

Exponential Shift: Humans Adapt to AI Economies

Artificial Intelligence (AI) and the Relationship between Agency, Autonomy, and Moral Patiency

ML For Hardware Design Interpretability: Challenges and Opportunities

Mimic In-Context Learning for Multimodal Tasks

SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting

Exploring Cognitive Attributes in Financial Decision-Making

X-Guard: Multilingual Guard Agent for Content Moderation

AI-University: An LLM-based platform for instructional alignment to scientific classrooms

Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy

Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories

SD$^2$: Self-Distilled Sparse Drafters

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations

Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild

PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection

ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning

From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting

Exploring utilization of generative AI for research and education in data-driven materials science

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models

PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration

Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks

A Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size

PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters

AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models

Embedding Hidden Adversarial Capabilities in Pre-Trained Diffusion Models

Efficient Evaluation of Large Language Models via Collaborative Filtering

Can AI Master Construction Management (CM)? Benchmarking State-of-the-Art Large Language Models on CM Certification Exams

From Tokens to Lattices: Emergent Lattice Structures in Language Models

Layers at Similar Depths Generate Similar Activations Across LLM Architectures

Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning

Generate the browsing process for short-video recommendation

High-order expansion of Neural Ordinary Differential Equations flows

WebMap -- Large Language Model-assisted Semantic Link Induction in the Web

InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System

Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation

A Framework for Lightweight Responsible Prompting Recommendation

MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation

Delving into: the quantification of Ai-generated content on the internet (synthetic data)

Towards Personalized Conversational Sales Agents with Contextual User Profiling for Strategic Action

Patience is all you need! An agentic system for performing scientific literature review

Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy

A Survey of Multimodal Retrieval-Augmented Generation

Enhancing Recommender Systems Using Textual Embeddings from Pre-trained Language Models

Improving RAG for Personalization with Author Features and Contrastive Examples

ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses