Papers
Tue 14 Nov 2023
265 papers
- UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANsDiffusion models → Image generation, text-to-image and editing
- Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning TasksLLM reasoning → Multimodal reasoning
- AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered ApplicationsLLM safety and security → Prompt injection and agent security
- Adversarial Imitation Learning On Aggregated DataOffline RL and imitation learning from data → Inverse reinforcement learning
- MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and CollaborationLLM agents and tool use → Reinforcement learning for LLM agents
- DeepThought: An Architecture for Autonomous Self-motivated SystemsLLM reasoning → Reasoning benchmarks and evaluation
- LLMs cannot find reasoning errors, but can correct them given the error locationLLM reasoning → Test-time compute and efficient thinking
- Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspectiveLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- UNcommonsense Reasoning: Abductive Reasoning about Uncommon SituationsLLM reasoning → Reasoning benchmarks and evaluation
- Predicting Text Preference Via Structured Comparative ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Aligning Large Language Models with Human Opinions through Persona Selection and Value--Belief--Norm ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Offline Data Enhanced On-Policy Policy Gradient with Provable GuaranteesOffline RL and imitation learning from data → Offline RL algorithms
- Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Learning to Filter Context for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Mustango: Toward Controllable Text-to-Music GenerationDiffusion models → Audio, speech and music
- Generative De-Quantization for Neural Speech Codec via Latent DiffusionDiffusion models → Audio, speech and music
- A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models EasilyLLM safety and security → Jailbreaking
- Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers FasterLLM reasoning → Test-time compute and efficient thinking +1
- REST: Retrieval-Based Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Unlock the Power: Competitive Distillation for Multi-Modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Human-Centric Autonomous Systems With LLMs for User Command ReasoningLLM reasoning → Chain-of-thought reasoning for driving
- Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scaleDiffusion models → Medical imaging and segmentation
- Self-Evolved Diverse Data Sampling for Efficient Instruction TuningSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- Vision-Language Instruction Tuning: A Review and AnalysisMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledgeLLM agents and tool use → Multimodal and embodied agents
- Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All ScenariosLLM reasoning → Test-time compute and efficient thinking
- Towards Reasoning in Large Language Models via Multi-Agent Peer Review CollaborationLLM reasoning → Reasoning for agents, planning and code +1
- PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Empowering Multi-step Reasoning across Languages via Tree-of-ThoughtsLLM reasoning → Reasoning benchmarks and evaluation
- Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized methodLLM reasoning → Multimodal reasoning
- Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM GameLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative LearningKnowledge distillation → Knowledge distillation for LLMs
- A Closer Look at the Self-Verification Abilities of Large Language Models in Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- First-Step Advantage: Importance of Starting Right in Multi-Step Math ReasoningLLM reasoning → Mathematical reasoning
- Brain-Driven Representation Learning Based on Diffusion ModelDiffusion models → Medical imaging and segmentation
- Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence GenerationDiffusion models → Flow matching, time series and science
- One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D DiffusionDiffusion models → 3D, point cloud and scene generation
- GPT-4V(ision) Unsuitable for Clinical Care and Education: A Clinician-Evaluated Assessment
- Partial Coherence for Object Recognition and Depth Sensing
- Execution time budget assignment for mixed criticality systems
- An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators
- Joint Alignment of Multivariate Quasi-Periodic Functional Data Using Deep Learning
- Fairness-Driven Optimization of RIS-Augmented 5G Networks for Seamless 3D UAV Connectivity Using DRL Algorithms
- A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups
- Secure Transformer Inference Protocol
- Unrolling Virtual Worlds for Immersive Experiences
- Moving Sampling Physics-informed Neural Networks induced by Moving Mesh PDE
- Large Language Model-Driven Classroom Flipping: Empowering Student-Centric Peer Questioning with Flipped Interaction
- Non-Parametric Memory Guidance for Multi-Document Summarization
- Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset
- Artificial intelligence and the skill premium
- The Perception-Robustness Tradeoff in Deterministic Image Restoration
- In the Red(dit): Social Media and Stock Prices
- A Simple and Powerful Framework for Stable Dynamic Network Embedding
- Smart Home Goal Feature Model -- A guide to support Smart Homes for Ageing in Place
- DA3: A Distribution-Aware Adversarial Attack against Language Models
- Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment
- Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency
- Summarization-Based Document IDs for Generative Retrieval with Language Models
- PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
- CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
- Unsupervised segmentation of irradiationunicodex2010induced orderunicodex2010disorder phase transitions in electron microscopy
- Asking More Informative Questions for Grounded Retrieval
- Drivable 3D Gaussian Avatars
- Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders
- Finding AI-Generated Faces in the Wild
- Towards Evaluating AI Systems for Moral Status Using Self-Reports
- Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
- Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation
- Recursive random binning to detect and display pairwise dependence
- Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models
- Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges
- UT5: Pretraining Non autoregressive T5 with unrolled denoising
- Manifold learning in Wasserstein space
- Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds
- Efficient Continual Pre-training for Building Domain Specific Large Language Models
- 2D-RC: Two-Dimensional Neural Network Approach for OTFS Symbol Detection
- Physical Adversarial Examples for Multi-Camera Systems
- Extending Multilingual Machine Translation through Imitation Learning
- Low-Frequency Load Identification using CNN-BiLSTM Attention Mechanism
- Natural Language Processing for Financial Regulation
- SceneScore: Learning a Cost Function for Object Arrangement
- GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer
- Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation
- Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images
- CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation
- On semi-supervised estimation using exponential tilt mixture models
- MADG: Margin-based Adversarial Learning for Domain Generalization
- Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
- Performance of Machine Learning Classification in Sonomammogram Images using BI-RADS
- MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions
- Functionality learning through specification instructions
- Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning
- Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
- Surrogate Modeling for Computationally Expensive Simulations of Supernovae in High-Resolution Galaxy Simulations
- Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models
- A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography
- LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping
- Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge
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- Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia
- Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale
- Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?
- Instant3D: Instant Text-to-3D Generation
- Retrieve and Copy: Scaling ASR Personalization to Large Catalogs
- Fine-tuning Language Models for Factuality
- Towards Open-Ended Visual Recognition with Large Language Model
- Are Large Language Models Temporally Grounded?
- Zero-shot audio captioning with audio-language model guidance and audio context keywords
- MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation
- A Material Lens on Coloniality in NLP
- PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
- Scheming AIs: Will AIs fake alignment during training in order to get power?
- Ensemble sampling for linear bandits: small ensembles suffice
- A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts
- USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR
- SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models
- How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection
- Plum: Prompt Learning using Metaheuristic
- Transformers can optimally learn regression mixture models
- The Transient Nature of Emergent In-Context Learning in Transformers
- Rotation-Agnostic Image Representation Learning for Digital Pathology
- Sparsity-Preserving Differentially Private Training of Large Embedding Models
- AI-generated text boundary detection with RoFT
- MC2: Towards Transparent and Culturally-Aware NLP for Minority Languages in China
- Causal Message Passing for Experiments with Unknown and General Network Interference
- Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI
- KTRL+F: Knowledge-Augmented In-Document Search
- Anti-LM Decoding for Zero-shot In-context Machine Translation
- The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
- Convolutional Neural Networks Exploiting Attributes of Biological Neurons
- Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty
- The Heat is On: Thermal Facial Landmark Tracking
- On-the-Fly Fusion of Large Language Models and Machine Translation
- Extrinsically-Focused Evaluation of Omissions in Medical Summarization
- Workflow-Guided Response Generation for Task-Oriented Dialogue
- VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing
- A Survey of Confidence Estimation and Calibration in Large Language Models
- On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
- How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions
- Level Set KSVD
- ARTEMIS: Using GANs with Multiple Discriminators to Generate Art
- Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks
- Mixed Attention Network for Cross-domain Sequential Recommendation
- Mobility-Induced Graph Learning for WiFi Positioning
- Defining the boundaries: challenges and advances in identifying cells in microscopy images
- On The Relationship Between Universal Adversarial Attacks And Sparse Representations
- On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation
- TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition
- Investigating the Encoding of Words in BERT's Neurons using Feature Textualization
- Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks
- MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis
- Counterfactual Explanation for Regression via Disentanglement in Latent Space
- Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images
- Improving Image Captioning via Predicting Structured Concepts
- Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction
- Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation
- Frequentist Guarantees of Distributed (Non)-Bayesian Inference
- Federated Skewed Label Learning with Logits Fusion
- Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
- GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding
- SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation
- All Data on the Table: Novel Dataset and Benchmark for Cross-Modality Scientific Information Extraction
- Semi-Supervised Learning via Swapped Prediction for Communication Signal Recognition
- A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates
- Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
- Time-Uniform Confidence Spheres for Means of Random Vectors
- DynamicSurf: Dynamic Neural RGB-D Surface Reconstruction with an Optimizable Feature Grid
- When Mining Electric Locomotives Meet Reinforcement Learning
- Rethink Cross-Modal Fusion in Weakly-Supervised Audio-Visual Video Parsing
- The Hyperdimensional Transform for Distributional Modelling, Regression and Classification
- Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes
- Cattle Identification Using Muzzle Images and Deep Learning Techniques
- RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge
- Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval
- GMTR: Graph Matching Transformers
- Investigating Statistical Inference and Covariate Effects in Shallow Neural Networks
- Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application
- Lite it fly: An All-Deformable-Butterfly Network
- Memory-efficient Stochastic methods for Memory-based Transformers
- Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI
- Evaluating Neighbor Explainability for Graph Neural Networks
- Insights into Classifying and Mitigating LLMs' Hallucinations
- Understanding learning from EEG data: Combining machine learning and feature engineering based on hidden Markov models and mixed models
- Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
- SAIE Framework: Support Alone Isn't Enough -- Advancing LLM Training with Adversarial Remarks
- Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
- DiLoCo: Distributed Low-Communication Training of Language Models
- Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion
- Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement Prediction
- SkelVIT: Consensus of Vision Transformers for a Lightweight Skeleton-Based Action Recognition System
- Spot: A Natural Language Interface for Geospatial Searches in OSM
- Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
- CPSOR-GCN: A Vehicle Trajectory Prediction Method Powered by Emotion and Cognitive Theory
- Evolutionary-enhanced quantum supervised learning model
- Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework
- Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
- GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy
- FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
- Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared task
- Batch Selection and Communication for Active Learning with Edge Labeling
- Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
- Contrastive Learning for Multi-Object Tracking with Transformers
- Data-driven building energy efficiency prediction using physics-informed neural networks
- ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma Grading
- MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CT
- Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints
- Velocity-Based Channel Charting with Spatial Distribution Map Matching
- CP-SLAM: Collaborative Neural Point-based SLAM System
- Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models
- Velocity Disambiguation for Video Frame Interpolation
- Iterative missing value imputation based on feature importance
- TempTabQA: Temporal Question Answering for Semi-Structured Tables
- A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data
- LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
- How Well Do Text Embedding Models Understand Syntax?
- Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images
- Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation
- Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
- Benchmarking Individual Tree Mapping with Sub-meter Imagery
- AfroBench: How Good are Large Language Models on African Languages?
- Distilling the Unknown to Unveil Certainty
- Comparison of two data fusion approaches for land use classification
- Higher-Order Expander Graph Propagation
- The ART of LLM Refinement: Ask, Refine, and Trust
- Language Models are Better Bug Detector Through Code-Pair Classification
- Robust Learning Based Condition Diagnosis Method for Distribution Network Switchgear
- Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons
- A Fast and Simple Algorithm for computing the MLE of Amplitude Density Function Parameters
- Finding Inductive Loop Invariants using Large Language Models
- The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks
- Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
- Discretized Distributed Optimization over Dynamic Digraphs
- It's All Relative! -- A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction
- Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
- Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning
- Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
- Automated title and abstract screening for scoping reviews using the GPT-4 Large Language Model
- Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
- Detection of Small Targets in Sea Clutter Based on RepVGG and Continuous Wavelet Transform
- Instruction-Following Evaluation for Large Language Models
- CPopQA: Ranking Cultural Concept Popularity by LLMs
- RoboSense At Edge: Detecting Slip, Crumple and Shape of the Object in Robotic Hand for Teleoprations
- Fair Abstractive Summarization of Diverse Perspectives
- VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications
- Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators
- Test-Time Training for Semantic Segmentation with Output Contrastive Loss
- Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
- Dual-channel Prototype Network for few-shot Classification of Pathological Images
- AutoML for Large Capacity Modeling of Meta's Ranking Systems
- Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography
- Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series
- Probing clustering in neural network representations
- Overview of the TREC 2023 Product Product Search Track
- Learning Mutually Informed Representations for Characters and Subwords
- Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA
- PEMS: Pre-trained Epidemic Time-series Models
- Enabling Decision-Support Systems through Automated Cell Tower Detection
- LLatrieval: LLM-Verified Retrieval for Verifiable Generation
- Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering
- A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control
- Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process
- On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model
- Leveraging Large Language Models to Detect Influence Campaigns in Social Media
- Cooperative AI via Decentralized Commitment Devices