Papers
Tue 20 Dec 2022
271 papers
- LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageLLM reasoning → Reasoning benchmarks and evaluation
- Parsel: Algorithmic Reasoning with Language Models by Composing DecompositionsLLM reasoning → Reasoning benchmarks and evaluation
- Self-Instruct: Aligning Language Models with Self-Generated InstructionsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Cross-modal Attention Congruence Regularization for Vision-Language Relation AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept RelationshipsLLM reasoning → Reasoning benchmarks and evaluation
- A Survey of Deep Learning for Mathematical ReasoningLLM reasoning → Mathematical reasoning
- When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric MemoriesRetrieval-augmented generation → Generation and context integration
- Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step QuestionsLLM reasoning → Knowledge- and tool-augmented reasoning
- DePlot: One-shot visual language reasoning by plot-to-table translationLLM reasoning → Multimodal reasoning
- Generic Temporal Reasoning with Differential Analysis and ExplanationLLM reasoning → Knowledge- and tool-augmented reasoning
- Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web DataLLM safety and security → Safety alignment, refusal and guardrails
- Fine-Grained Distillation for Long Document RetrievalKnowledge distillation → Knowledge distillation for LLMs
- Towards Reasoning in Large Language Models: A SurveyLLM reasoning → Reasoning benchmarks and evaluation
- SeqDiffuSeq: Text Diffusion with Encoder-Decoder TransformersDiffusion models → Discrete and text diffusion
- Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?LLM reasoning → Multimodal reasoning
- Adam: Dense Retrieval Distillation with Adaptive Dark ExamplesKnowledge distillation → General knowledge distillation methods
- True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4LLM reasoning → Reasoning benchmarks and evaluation
- VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice ConversionLLM safety and security → Audio jailbreaks and speech backdoors
- Large Language Models Are Reasoning TeachersLLM reasoning → Prompting and chain-of-thought reasoning
- Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersLLM reasoning → Prompting and chain-of-thought reasoning
- On Improving Summarization Factual Consistency from Natural Language FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- A Survey on Human Action Recognition
- Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms
- Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
- Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements
- Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
- Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications
- Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
- FunkNN: Neural Interpolation for Functional Generation
- Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification
- Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
- A portable widefield fundus camera with high dynamic range imaging capability
- Scene-aware Egocentric 3D Human Pose Estimation
- Variational Quantum Soft Actor-Critic for Robotic Arm Control
- Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis
- Trustworthy Social Bias Measurement
- Evaluation for Change
- A survey on text generation using generative adversarial networks
- Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks
- Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning
- C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation
- Task Ambiguity in Humans and Language Models
- Generation-Augmented Query Expansion For Code Retrieval
- METEOR Guided Divergence for Video Captioning
- Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
- Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos
- A Physics-Informed Neural Network to Model Port Channels
- Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
- There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines
- evoML Yellow Paper: Evolutionary AI and Optimisation Studio
- In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
- KronA: Parameter Efficient Tuning with Kronecker Adapter
- Inversion of Bayesian Networks
- High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
- mFACE: Multilingual Summarization with Factual Consistency Evaluation
- Full-Body Articulated Human-Object Interaction
- Ontologically Faithful Generation of Non-Player Character Dialogues
- MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning
- Temporal Output Discrepancy for Loss Estimation-based Active Learning
- Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features
- Resonant Anomaly Detection with Multiple Reference Datasets
- Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
- Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction
- BLIND: Bias Removal With No Demographics
- Character-Aware Models Improve Visual Text Rendering
- Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
- On-the-fly Denoising for Data Augmentation in Natural Language Understanding
- DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines
- Unleashing the Power of Visual Prompting At the Pixel Level
- PairReranker: Pairwise Reranking for Natural Language Generation
- A Length-Extrapolatable Transformer
- RangeAugment: Efficient Online Augmentation with Range Learning
- Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation
- InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds
- T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
- Semantically-informed Hierarchical Event Modeling
- Pretraining Without Attention
- Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts
- UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment
- Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
- HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes
- Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
- Measure More, Question More: Experimental Studies on Transformer-based Language Models and Complement Coercion
- DISCO: Distilling Counterfactuals with Large Language Models
- Evaluating Psychological Safety of Large Language Models
- HYRR: Hybrid Infused Reranking for Passage Retrieval
- Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval
- SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks
- Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End
- Privacy-Preserving Domain Adaptation of Semantic Parsers
- CausalDialogue: Modeling Utterance-level Causality in Conversations
- Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
- Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
- A Measure-Theoretic Characterization of Tight Language Models
- SimpleStyle: An Adaptable Style Transfer Approach
- Precise Zero-Shot Dense Retrieval without Relevance Labels
- Execution-Based Evaluation for Open-Domain Code Generation
- Generalized Simultaneous Perturbation-based Gradient Search with Reduced Estimator Bias
- ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
- Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models
All 271
- BMX: Boosting Natural Language Generation Metrics with Explainability
- Controllable Text Generation with Language Constraints
- SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
- Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models
- MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue
- Towards Sequence Utility Maximization under Utility Occupancy Measure
- Is GPT-3 a Good Data Annotator?
- Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization
- Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters
- Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
- Policy Gradient in Robust MDPs with Global Convergence Guarantee
- Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks
- Scheduling with Predictions
- QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
- Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
- HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios
- Deep Riemannian Networks for End-to-End EEG Decoding
- Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models
- Settling the Reward Hypothesis
- Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
- DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification
- ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
- Geographic and Geopolitical Biases of Language Models
- AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection
- Contrastive Learning Reduces Hallucination in Conversations
- A deep learning Attention model to solve the Vehicle Routing Problem and the Pick-up and Delivery Problem with Time Windows
- Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization
- Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
- Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification
- UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline
- To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering
- What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary
- Data Curation Alone Can Stabilize In-context Learning
- The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results
- Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
- Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
- Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task
- Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis
- Optimizing Serially Concatenated Neural Codes with Classical Decoders
- Does It Affect You? Social and Learning Implications of Using Cognitive-Affective State Recognition for Proactive Human-Robot Tutoring
- Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
- CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning
- Weakly supervised training of universal visual concepts for multi-domain semantic segmentation
- Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data
- Image quality prediction using synthetic and natural codebooks: comparative results
- Learned-Database Systems Security
- HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation
- Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation
- Efficient and Sound Differentiable Programming in a Functional Array-Processing Language
- Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
- Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework
- Probabilistic Quantile Factor Analysis
- Cell-Free Data Power Control Via Scalable Multi-Objective Bayesian Optimisation
- Extrinsic Evaluation of Machine Translation Metrics
- Quantifying and Visualizing Vascular Branching Geometry with Micro-CT: Normalization of Intra- and Inter-Specimen Variations
- Strong uniform convergence of Laplacians of random geometric and directed kNN graphs on compact manifolds
- Identifying and Manipulating the Personality Traits of Language Models
- High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
- ReCode: Robustness Evaluation of Code Generation Models
- Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds
- Nonparametric plug-in classifier for multiclass classification of S.D.E. paths
- In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
- Original or Translated? On the Use of Parallel Data for Translation Quality Estimation
- MDL-based Compressing Sequential Rules
- Learning efficient backprojections across cortical hierarchies in real time
- Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning
- Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery
- Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study
- A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
- StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation
- CSMPQ:Class Separability Based Mixed-Precision Quantization
- GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator
- Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches
- ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion
- Redistribution of Weights and Activations for AdderNet Quantization
- EIT: Enhanced Interactive Transformer
- Emotion Selectable End-to-End Text-based Speech Editing
- Pay Attention to Your Tone: Introducing a New Dataset for Polite Language Rewrite
- Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions
- IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages
- Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
- CGCV:Context Guided Correlation Volume for Optical Flow Neural Networks
- On the Role of Parallel Data in Cross-lingual Transfer Learning
- Document-level Relation Extraction with Relation Correlations
- Hoyer regularizer is all you need for ultra low-latency spiking neural networks
- Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
- Seafloor-Invariant Caustics Removal from Underwater Imagery
- Planning-oriented Autonomous Driving
- Human-Guided Fair Classification for Natural Language Processing
- Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets
- Tracking by Associating Clips
- Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
- Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation
- A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems
- Content Adaptive Latents and Decoder for Neural Image Compression
- Image Segmentation-based Unsupervised Multiple Objects Discovery
- Efficient aggregation of face embeddings for decentralized face recognition deployments (extended version)
- On the Applicability of Synthetic Data for Re-Identification
- Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework
- Visual Transformers for Primates Classification and Covid Detection
- Computer Vision Methods for Automating Turbot Fish Cutting
- Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning
- End to End Generative Meta Curriculum Learning For Medical Data Augmentation
- An Information-Theoretic Approach to Transferability in Task Transfer Learning
- Galaxy Image Classification using Hierarchical Data Learning with Weighted Sampling and Label Smoothing
- Rumour detection using graph neural network and oversampling in benchmark Twitter dataset
- A Survey on Pretrained Language Models for Neural Code Intelligence
- Constructing Organism Networks from Collaborative Self-Replicators
- DOC: Improving Long Story Coherence With Detailed Outline Control
- Out-of-sample scoring and automatic selection of causal estimators
- RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction
- AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
- I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
- WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning
- VoronoiPatches: Evaluating A New Data Augmentation Method
- A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
- OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection
- Asynchronous Distributed Bilevel Optimization
- An Augmentation Strategy for Visually Rich Documents
- A Twitter BERT Approach for Offensive Language Detection in Marathi
- Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs
- InterMulti:Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis
- Do language models have coherent mental models of everyday things?
- When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
- On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
- When Do Decompositions Help for Machine Reading?
- DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization
- Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
- Benchmarking Spatial Relationships in Text-to-Image Generation
- DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely
- Language Modeling with Latent Situations
- PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English
- Identifying latent distances with Finslerian geometry
- Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog
- CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context
- Multi-head Uncertainty Inference for Adversarial Attack Detection
- Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning
- (QA)2: Question Answering with Questionable Assumptions
- Defending Against Disinformation Attacks in Open-Domain Question Answering
- Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
- Are Deep Neural Networks SMARTer than Second Graders?
- Dynamic Molecular Graph-based Implementation for Biophysical Properties Prediction
- Multi-Reference Image Super-Resolution: A Posterior Fusion Approach
- Using Machine Learning to Determine Morphologies of z<1 AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey
- Texture Representation via Analysis and Synthesis with Generative Adversarial Networks
- Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
- Benchmarking person re-identification datasets and approaches for practical real-world implementations
- Continual Mean Estimation Under User-Level Privacy
- Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation
- Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
- Sophisticated deep learning with on-chip optical diffractive tensor processing
- Insights into undergraduate pathways using course load analytics
- Data Augmentation on Graphs: A Technical Survey
- Learning Subgrid-scale Models with Neural Ordinary Differential Equations
- Distributional Robustness Bounds Generalization Errors
- Uncertainty Quantification of MLE for Entity Ranking with Covariates
- Beyond Surrogate Modeling: Learning the Local Volatility Via Shape Constraints
- BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
- Domain Generalization with Correlated Style Uncertainty
- MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency
- Future Sight: Dynamic Story Generation with Large Pretrained Language Models
- Dialog2API: Task-Oriented Dialogue with API Description and Example Programs
- Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality
- AnyTOD: A Programmable Task-Oriented Dialog System
- AI applications in forest monitoring need remote sensing benchmark datasets
- A Generalized Variable Importance Metric and Estimator for Black Box Machine Learning Models
- Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
- Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation
- Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
- Input Normalized Stochastic Gradient Descent Training of Deep Neural Networks
- Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems