Papers
Wed 26 Jun 2024
279 papers
- Geode: A Zero-shot Geospatial Question-Answering Agent with Explicit Reasoning and Precise Spatio-Temporal RetrievalLLM reasoning → Spatial and embodied reasoning
- MATE: Meet At The Embedding -- Connecting Images with Long TextsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Diffusion Model-Based Video Editing: A SurveyDiffusion models → Video generation
- A Survey on Mixture of Experts in Large Language ModelsMixture-of-experts → MoE large language models
- A Review of Large Language Models and Autonomous Agents in ChemistryLLM agents and tool use → Medical and scientific domain agents
- JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial ChallengesLLM reasoning → Multimodal reasoning +2
- "Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative ModelsRetrieval-augmented generation → Privacy and security of RAG
- MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image DataSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- Aligning Model Properties via Conformal Risk ControlLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Categorical Syllogisms Revisited: A Review of the Logical Reasoning Abilities of LLMs for Analyzing Categorical SyllogismLLM reasoning → Reasoning benchmarks and evaluation
- 3D Feature Distillation with Object-Centric PriorsKnowledge distillation → Detection and dense prediction distillation
- Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic RoadblocksDeep reinforcement learning methods → RL for autonomous driving and traffic
- Jailbreaking LLMs with Arabic Transliteration and ArabiziLLM safety and security → Jailbreaking
- Towards Open-World Grasping with Large Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and BipartisanshipLLM agents and tool use → Social simulation and multi-agent debate
- Learning to Correct for QA Reasoning with Black-box LLMsLLM reasoning → Test-time compute and efficient thinking
- The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce HarmLLM safety and security → Safety alignment, refusal and guardrails
- Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location DataLLM safety and security → Membership inference attacks
- Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMsLLM reasoning → Mathematical reasoning +1
- An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical DiscoveryLLM reasoning → Clinical and biomedical applications
- Symbolic Learning Enables Self-Evolving AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Confident Natural Policy Gradient for Local Planning in qπ-realizable Constrained MDPsDeep reinforcement learning methods → RL theory and sample complexity
- MultiDiff: Consistent Novel View Synthesis from a Single ImageDiffusion models → 3D, point cloud and scene generation
- CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling DatasetsLLM agents and tool use → Tool learning and function calling
- Denoising as Adaptation: Noise-Space Domain Adaptation for Image RestorationDiffusion models → Inverse problems and image restoration
- WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsLLM safety and security → Jailbreaking
- Mental Modeling of Reinforcement Learning Agents by Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsLLM safety and security → Safety alignment, refusal and guardrails
- DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure GuidanceDiffusion models → Diffusion foundations and sampling
- Preference Elicitation for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Mixture of Experts in a Mixture of RL settingsMixture-of-experts → MoE in reinforcement learning and robotics +1
- Towards diffusion models for large-scale sea-ice modellingDiffusion models → Flow matching, time series and science
- Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse ProcessDiffusion models → Medical imaging and segmentation
- XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View SynthesisEnd-to-end autonomous driving → Generative simulation for driving
- Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory ControlDeep reinforcement learning methods → RL for energy, networks and operations
- AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and LimitationsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Molecular Diffusion Models with Virtual ReceptorsDiffusion models → Flow matching, time series and science
- Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-ResolutionDeep reinforcement learning methods → RL for clinical treatment and surgery
- Combining Automated Optimisation of Hyperparameters and Reward ShapeDeep reinforcement learning methods → Deep RL algorithms and representations
- Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networksDiffusion models → Medical imaging and segmentation
- Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction SystemsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A Closer Look into Mixture-of-Experts in Large Language ModelsMixture-of-experts → MoE large language models
- SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative DecodingLLM reasoning → Test-time compute and efficient thinking +1
- VDG: Vision-Only Dynamic Gaussian for Driving SimulationWorld models → World models for autonomous driving
- Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt SchemeMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- MammothModa: Multi-Modal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Human-Aware 3D Scene Generation with Spatially-constrained Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- A Refer-and-Ground Multimodal Large Language Model for BiomedicineMultimodal LLMs / vision-language models → Medical vision-language models
- LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Assessing "Implicit" Retrieval Robustness of Large Language ModelsRetrieval-augmented generation → Generation and context integration
- Poisoned LangChain: Jailbreak LLMs by LangChainRetrieval-augmented generation → Privacy and security of RAG +1
- SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity GuidanceLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysisRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Chrono: A Simple Blueprint for Representing Time in MLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Octo-planner: On-device Language Model for Planner-Action AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad PredictionSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
- Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You NeedRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL AgentsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image TranslationDiffusion models → Medical imaging and segmentation
- Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive PoliciesDeep reinforcement learning methods → Deep RL algorithms and representations
- GenRL: Multimodal-foundation world models for generalization in embodied agentsWorld models → Embodied and robot world models +1
- Boosting Soft Q-Learning by BoundingDeep reinforcement learning methods → RL theory and sample complexity
- SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASRMixture-of-experts → Multimodal MoE models
- Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
- Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
- Dating ancient manuscripts using radiocarbon and AI-based writing style analysis
- Quantum-tunnelling deep neural network for optical illusion recognition
- Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment
- Toward Availability Attacks in 3D Point Clouds
- Navigating the Minefield of MT Beam Search in Cascaded Streaming Speech Translation
- Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It
- Prompting Whole Slide Image Based Genetic Biomarker Prediction
- Classification of Inkjet Printers based on Droplet Statistics
- A Dynamic Systems Approach to Modelling Human-Machine Rhythm Interaction
- ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge
- Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics
- Online Distributional Regression
- CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains
- A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
- PianoBART: Symbolic Piano Music Generation and Understanding with Large-Scale Pre-Training
- Clustering in pure-attention hardmax transformers and its role in sentiment analysis
- Unveiling and Controlling Anomalous Attention Distribution in Transformers
- Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
- Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM)
- Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images
- A Quantization-based Technique for Privacy Preserving Distributed Learning
- Operator Learning of Lipschitz Operators: An Information-Theoretic Perspective
- Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation
- Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features
- Learning to Remove Cuts in Integer Linear Programming
- Implicit Discourse Relation Classification For Nigerian Pidgin
- ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models
- WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images
- Conformalized Link Prediction on Graph Neural Networks
- The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
- Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
- A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
All 279
- QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning
- Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models
- RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
- WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model
- Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes
- Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos
- SpY: A Context-Based Approach to Spacecraft Component Detection
- Learn it or Leave it: Module Composition and Pruning for Continual Learning
- Fast Optimizer Benchmark
- Sequence Graph Network for Online Debate Analysis
- Geometric Features Enhanced Human-Object Interaction Detection
- Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
- CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification
- Speakers Unembedded: Embedding-free Approach to Long-form Neural Diarization
- Few-shot Personalization of LLMs with Mis-aligned Responses
- Human-AI Collaborative Taxonomy Construction: A Case Study in Profession-Specific Writing Assistants
- A simple and improved algorithm for noisy, convex, zeroth-order optimisation
- RouteLLM: Learning to Route LLMs with Preference Data
- Evaluating Copyright Takedown Methods for Language Models
- Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing
- Improving Hyperparameter Optimization with Checkpointed Model Weights
- IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement
- AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation
- Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using Longitudinal Speech Transformer
- Robust Low-Cost Drone Detection and Classification in Low SNR Environments
- Unbiased least squares regression via averaged stochastic gradient descent
- Towards Deep Active Learning in Avian Bioacoustics
- Documentation Practices of Artificial Intelligence
- Towards Large Language Model Aided Program Refinement
- Towards Compositionality in Concept Learning
- On Scaling Up 3D Gaussian Splatting Training
- MatchTime: Towards Automatic Soccer Game Commentary Generation
- PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
- ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
- "Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline
- Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming
- Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation
- Robust Surgical Phase Recognition From Annotation Efficient Supervision
- UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations
- Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning
- GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality
- Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation
- Boundary Detection Algorithm Inspired by Locally Linear Embedding
- Towards Human-Level 3D Relative Pose Estimation: Generalizable, Training-Free, with Single Reference
- Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
- Cascading Large Language Models for Salient Event Graph Generation
- An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors
- Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
- Facial Image Feature Analysis and its Specialization for Fr'echet Distance and Neighborhoods
- Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets
- Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling
- Differential error feedback for communication-efficient decentralized learning
- BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR Data
- IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
- LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
- Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
- Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test
- AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
- SAM: Semi-Active Mechanism for Extensible Continuum Manipulator and Real-time Hysteresis Compensation Control Algorithm
- DoubleTake: Geometry Guided Depth Estimation
- Adversarial Search Engine Optimization for Large Language Models
- KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
- MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization
- From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis
- Dynamic Data Pruning for Automatic Speech Recognition
- Learning pure quantum states (almost) without regret
- Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
- Research on Information Extraction of LCSTS Dataset Based on an Improved BERTSum-LSTM Model
- Kolmogorov-Arnold Graph Neural Networks
- On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks
- EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
- AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space
- Grammar Assistance Using Syntactic Structures (GAUSS)
- Efficient and Accurate Explanation Estimation with Distribution Compression
- Continuous Sign Language Recognition Using Intra-inter Gloss Attention
- Early Classification of Time Series: A Survey and Benchmark
- PDFA Distillation via String Probability Queries
- Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
- PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
- MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
- Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
- ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
- Advancing Airport Tower Command Recognition: Integrating Squeeze-and-Excitation and Broadcasted Residual Learning
- AI-native Memory: A Pathway from LLMs Towards AGI
- Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields
- Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers
- S3: A Simple Strong Sample-effective Multimodal Dialog System
- MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research
- FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning
- Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI
- Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
- RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network
- Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentation
- Generalized Deepfake Attribution
- Sanskrit Knowledge-based Systems: Annotation and Computational Tools
- "Vorbecsti Romanecste?" A Recipe to Train Powerful Romanian LLMs with English Instructions
- Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
- Llamipa: An Incremental Discourse Parser
- Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
- On the Role of Visual Grounding in VQA
- Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation
- ConStyle v2: A Strong Prompter for All-in-One Image Restoration
- Concordance in basal cell carcinoma diagnosis. Building a proper ground truth to train Artificial Intelligence tools
- Zero-shot prompt-based classification: topic labeling in times of foundation models in German Tweets
- PlaMo: Plan and Move in Rich 3D Physical Environments
- CoDA: Interactive Segmentation and Morphological Analysis of Dendroid Structures Exemplified on Stony Cold-Water Corals
- GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
- Enhancing Data Privacy in Large Language Models through Private Association Editing
- Guiding Video Prediction with Explicit Procedural Knowledge
- Optimizing Incomplete, Large-Scale and Sparse Multi-Graph Matching in Bioimaging
- Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning
- Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis
- AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act
- EFCNet: Every Feature Counts for Small Medical Object Segmentation
- GS-Octree: Octree-based 3D Gaussian Splatting for Robust Object-level 3D Reconstruction Under Strong Lighting
- Methodology of Adapting Large English Language Models for Specific Cultural Contexts
- Selective Prompting Tuning for Personalized Conversations with LLMs
- DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes
- Games of Knightian Uncertainty as AGI testbeds
- VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
- Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models
- UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs
- Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
- Nebula: A discourse aware Minecraft Builder
- 3D-MVP: 3D Multiview Pretraining for Robotic Manipulation
- FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization
- SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
- Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
- Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
- Innovating for Tomorrow: The Convergence of SE and Green AI
- Exclusive Style Removal for Cross Domain Novel Class Discovery
- Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression
- Automatic Speech Recognition for Hindi
- ConvoCache: Smart Re-Use of Chatbot Responses
- Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
- CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection
- ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
- ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs
- Robust personnel rostering: how accurate should absenteeism predictions be?
- BADGE: BADminton report Generation and Evaluation with LLM
- Open-vocabulary Mobile Manipulation in Unseen Dynamic Environments with 3D Semantic Maps
- Token-Weighted RNN-T for Learning from Flawed Data
- A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation
- Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections
- LLM-Driven Multimodal Opinion Expression Identification
- EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models
- Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
- MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal
- Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
- Learning for Bandits under Action Erasures
- EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation
- Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals
- Speech2UnifiedExpressions: Synchronous Synthesis of Co-Speech Affective Face and Body Expressions from Affordable Inputs
- Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification
- Learning Optimal Filters Using Variational Inference
- AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
- ViT-1.58b: Mobile Vision Transformers in the 1-bit Era
- A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction
- Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources
- ScanFormer: Referring Expression Comprehension by Iteratively Scanning
- PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry
- MT2ST: Adaptive Multi-Task to Single-Task Learning
- Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
- Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization
- LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them
- Real-time Structure Flow
- Automated Clinical Data Extraction with Knowledge Conditioned LLMs
- Automated Off-Policy Estimator Selection via Supervised Learning
- MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
- View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
- Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
- Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher
- Scalable Dual Coordinate Descent for Kernel Methods
- Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model
- Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
- Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models
- Learning Neural Networks with Sparse Activations
- DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image
- Multi-step Inference over Unstructured Data