Papers
Fri 21 Jun 2024
260 papers
- Logicbreaks: A Framework for Understanding Subversion of Rule-based InferenceLLM safety and security → Jailbreaking
- Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human FeedbackRetrieval-augmented generation → RAG pipeline design and evaluation +1
- Large Language Models have Intrinsic Self-Correction AbilityLLM reasoning → Test-time compute and efficient thinking
- Self-Supervised Adversarial Diffusion Models for Fast MRI ReconstructionDiffusion models → Medical imaging and segmentation
- Pareto-Optimal Learning from Preferences with Hidden ContextLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Robust Reinforcement Learning from Corrupted Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SAIL: Self-Improving Efficient Online Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic ResearchMultimodal LLMs / vision-language models → Medical vision-language models
- Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error MinimizationLLM reasoning → Test-time compute and efficient thinking
- Steering Without Side Effects: Improving Post-Deployment Control of Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning StickLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and BenchmarkingEnd-to-end autonomous driving → End-to-end system architecture
- GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data AnalysisLLM agents and tool use → Medical and scientific domain agents
- Multimodal Task Vectors Enable Many-Shot Multimodal In-Context LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMsRetrieval-augmented generation → RAG pipeline design and evaluation
- Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language ModelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness MetricsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Retrieval Augmented Zero-Shot Text ClassificationRetrieval-augmented generation → Generation and context integration
- Backdooring Bias (B2) into Stable Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Inference Time Alignment with Reward-Guided Tree SearchLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document AnalysisRetrieval-augmented generation → RAG pipeline design and evaluation
- Hybrid Alignment Training for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Implicit Probabilistic Reasoning Does Not Reflect Explicit Answers in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- VividDreamer: Towards High-Fidelity and Efficient Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
- Towards Retrieval Augmented Generation over Large Video LibrariesRetrieval-augmented generation → Multimodal RAG
- Learning Autonomous Race Driving with Action Mapping Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- Autonomous Agents for Collaborative Task under Information AsymmetryLLM agents and tool use → General LLM agent frameworks and benchmarks
- LLM2TEA: An Agentic AI Designer for Discovery with Generative Evolutionary MultitaskingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Direct Multi-Turn Preference Optimization for Language AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- From LLMs to MLLMs: Exploring the Landscape of Multimodal JailbreakingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- DExter: Learning and Controlling Performance Expression with Diffusion ModelsDiffusion models → Audio, speech and music
- Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned TuningDiffusion models → Medical imaging and segmentation
- Latent diffusion models for parameterization and data assimilation of facies-based geomodelsDiffusion models → Flow matching, time series and science
- MU-Bench: A Multitask Multimodal Benchmark for Machine UnlearningLLM safety and security → Machine unlearning
- KI-Bilder und die Widerst"andigkeit der Medienkonvergenz: Von prim"arer zu sekund"arer Intermedialit"at?
- Multi-Granularity and Multi-modal Feature Interaction Approach for Text Video Retrieval
- Impact on clinical guideline adherence of Orient-COVID, a CDSS based on dynamic medical decision trees for COVID19 management: a randomized simulation trial
- Effect of Rotation Angle in Self-Supervised Pre-training is Dataset-Dependent
- A GPT-based Code Review System for Programming Language Learning
- AgriLLM: Harnessing Transformers for Farmer Queries
- A Survey of Retrieval Algorithms in Ad and Content Recommendation Systems
- Emulation with uncertainty quantification of regional sea-level change caused by the Antarctic Ice Sheet
- Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
- Recurrent Stochastic Configuration Networks for Temporal Data Analytics
- Segmenting Dead Sea Scroll Fragments for a Scientific Image Set
- PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images
- Inferring Pluggable Types with Machine Learning
- Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery
- CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
- PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices
- Flat Posterior Does Matter For Bayesian Model Averaging
- Matching Problems to Solutions: An Explainable Way of Solving Machine Learning Problems
- The Stochastic Occupation Kernel Method for System Identification
- Contextual Sprint Classification in Soccer Based on Deep Learning
- TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
- Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipe
- Testing the Feasibility of Linear Programs with Bandit Feedback
- Generating Music with Structure Using Self-Similarity as Attention
- VigilEye -- Artificial Intelligence-based Real-time Driver Drowsiness Detection
- Taming 3DGS: High-Quality Radiance Fields with Limited Resources
- Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer
- DataFreeShield: Defending Adversarial Attacks without Training Data
- Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
- Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem
- Marrying Compressed Sensing and Deep Signal Separation
- Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
- BrowNNe: Brownian Nonlocal Neurons & Activation Functions
- MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
- Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradients
- Automated radiotherapy treatment planning guided by GPT-4Vision
- Detecting and Classifying Flares in High-Resolution Solar Spectra with Supervised Machine Learning
- News Deja Vu: Connecting Past and Present with Semantic Search
- TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
- Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods
- Contrastive Entity Coreference and Disambiguation for Historical Texts
- Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
- Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
- DEM: Distribution Edited Model for Training with Mixed Data Distributions
- Unseen Object Reasoning with Shared Appearance Cues
- Open-Vocabulary Temporal Action Localization using Multimodal Guidance
- Specify What? Enhancing Neural Specification Synthesis by Symbolic Methods
- R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity
- Supersonic OT: Fast Unconditionally Secure Oblivious Transfer
- Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling
- Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
- Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
- Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness
- Image Conductor: Precision Control for Interactive Video Synthesis
- Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs
- GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
- Masked Extended Attention for Zero-Shot Virtual Try-On In The Wild
- Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
- An End-to-End, Segmentation-Free, Arabic Handwritten Recognition Model on KHATT
- Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
All 260
- Bug In the Code Stack: Can LLMs Find Bugs in Large Python Code Stacks
- Rethinking Remote Sensing Change Detection With A Mask View
- STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals
- Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
- NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing
- Grants4Companies: Applying Declarative Methods for Recommending and Reasoning About Business Grants in the Austrian Public Administration (System Description)
- Pessimistic asynchronous sampling in high-cost Bayesian optimization
- The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data
- FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
- How language models extrapolate outside the training data: A case study in Textualized Gridworld
- You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation
- Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection
- Evaluating Diversity in Automatic Poetry Generation
- Perception of Phonological Assimilation by Neural Speech Recognition Models
- V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions
- Fingerprint Membership and Identity Inference Against Generative Adversarial Networks
- VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
- Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning
- Unsupervised Morphological Tree Tokenizer
- AdaGrad under Anisotropic Smoothness
- Synthetic Lyrics Detection Across Languages and Genres
- ExDAG: an MIQP Algorithm for Learning DAGs
- A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
- Deep UAV Path Planning with Assured Connectivity in Dense Urban Setting
- Unsupervised Extraction of Dialogue Policies from Conversations
- How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
- Landscape More Secure Than Portrait? Zooming Into the Directionality of Digital Images With Security Implications
- Exploring the Efficacy of Robotic Assistants with ChatGPT and Claude in Enhancing ADHD Therapy: Innovating Treatment Paradigms
- Causal Learning in Biomedical Applications: Krebs Cycle as a Benchmark
- DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
- Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss
- 'Evaluation des capacit'es de r'eponse de larges mod`eles de langage (LLM) pour des questions d'historiens
- Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss
- This actually looks like that: Proto-BagNets for local and global interpretability-by-design
- A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis
- Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction
- Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
- Generative Topological Networks
- Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks
- KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
- A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion
- Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
- A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning
- High Resolution Surface Reconstruction of Cultural Heritage Objects Using Shape from Polarization Method
- Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation
- Surface Normal Reconstruction Using Polarization-Unet
- FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
- A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images
- Investigating the impact of 2D gesture representation on co-speech gesture generation
- Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network
- Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
- HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization
- How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
- Towards General Negotiation Strategies with End-to-End Reinforcement Learning
- ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification
- Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
- GOAL: A Generalist Combinatorial Optimization Agent Learner
- Neural Incremental Data Assimilation
- KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning
- Tempora-Fusion: Time-Lock Puzzle with Efficient Verifiable Homomorphic Linear Combination
- Cross-lingual paraphrase identification
- Latent Space Translation via Inverse Relative Projection
- PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
- Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis
- Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework
- From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
- Discovering Common Information in Multi-view Data
- Behaviour Distillation
- Online detection and infographic explanation of spam reviews with data drift adaptation
- Improving Interpretability and Robustness for the Detection of AI-Generated Images
- SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition
- GiusBERTo: A Legal Language Model for Personal Data De-identification in Italian Court of Auditors Decisions
- Using Neural Networks for Data Cleaning in Weather Datasets
- SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
- A3D: Does Diffusion Dream about 3D Alignment?
- MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens
- Evolution of Rewards for Food and Motor Action by Simulating Birth and Death
- GraLMatch: Matching Groups of Entities with Graphs and Language Models
- Exact discovery is polynomial for certain sparse causal Bayesian networks
- Fair, Manipulation-Robust, and Transparent Sortition
- RouteFinder: Towards Foundation Models for Vehicle Routing Problems
- Dislocation cartography: Representations and unsupervised classification of dislocation networks with unique fingerprints
- Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
- Unveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations
- Differentiable and Learnable Wireless Simulation with Geometric Transformers
- Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
- Disability Representations: Finding Biases in Automatic Image Generation
- SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation
- Learning Variable Compliance Control From a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System
- Introducing the Biomechanics-Function Relationship in Glaucoma: Improved Visual Field Loss Predictions from intraocular pressure-induced Neural Tissue Strains
- Hierarchical thematic classification of major conference proceedings
- Human-AI collectives produce the most accurate differential diagnoses
- Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
- E2GS: Event Enhanced Gaussian Splatting
- Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data
- CoCPF: Coordinate-based Continuous Projection Field for Ill-Posed Inverse Problem in Imaging
- LU2Net: A Lightweight Network for Real-time Underwater Image Enhancement
- Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation
- Uni-Mol2: Exploring Molecular Pretraining Model at Scale
- Optimised Grouped-Query Attention Mechanism for Transformers
- Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
- Skip and Skip: Segmenting Medical Images with Prompts
- Unlocking the Global Synergies in Low-Rank Adapters
- ICLEval: Evaluating In-Context Learning Ability of Large Language Models
- Principled Feature Disentanglement for High-Fidelity Unified Brain MRI Synthesis
- Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health
- ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
- An Idiosyncrasy of Time-discretization in Reinforcement Learning
- CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking
- Brightearth roads: Towards fully automatic road network extraction from satellite imagery
- On the growth of the parameters of approximating ReLU neural networks
- Efficient Graph Similarity Computation with Alignment Regularization
- GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
- Extraction of 3D trajectories of mandibular condyles from 2D real-time MRI
- DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
- Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks
- FC3DNet: A Fully Connected Encoder-Decoder for Efficient Demoir'eing
- Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
- Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths
- Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference
- GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models
- Safely Learning with Private Data: A Federated Learning Framework for Large Language Model
- SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
- Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
- InterBiasing: Boost Unseen Word Recognition through Biasing Intermediate Predictions
- InternLM-Law: An Open Source Chinese Legal Large Language Model
- OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
- 70B-parameter large language models in Japanese medical question-answering
- Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
- MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
- Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video
- Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
- TraceNet: Segment one thing efficiently
- I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education
- Investigating the Transferability of Code Repair for Low-Resource Programming Languages
- AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
- A review of feature selection strategies utilizing graph data structures and knowledge graphs
- Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis
- PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers
- Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
- Graph Edge Representation via Tensor Product Graph Convolutional Representation
- DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
- TabularMark: Watermarking Tabular Datasets for Machine Learning
- Automated architectural space layout planning using a physics-inspired generative design framework
- Bayesian neural networks for predicting uncertainty in full-field material response
- ToVo: Toxicity Taxonomy via Voting
- Efficient Continual Pre-training by Mitigating the Stability Gap
- CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation
- Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text
- Word Matters: What Influences Domain Adaptation in Summarization?
- Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images
- TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
- SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
- On the estimation rate of Bayesian PINN for inverse problems
- Relighting Scenes with Object Insertions in Neural Radiance Fields
- How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions
- Securing the Future: Proactive Threat Hunting for Sustainable IoT Ecosystems
- Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
- Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification