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09/13/2023
SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions
With the rapid development of Large Language Models (LLMs), increasing a...
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09/12/2023
Probabilistic Differentiable Filters Enable Ubiquitous Robot Control with Smartwatches
Ubiquitous robot control and human-robot collaboration using smart devic...
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09/12/2023
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning
Deep Reinforcement Learning (DRL) has achieved remarkable success in seq...
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08/28/2023
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Although large language models (LLMs) demonstrate impressive performance...
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08/19/2023
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters
This paper introduces a novel state estimation framework for robots usin...
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08/19/2023
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings
This paper introduces a novel approach for modeling the dynamics of soft...
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08/13/2023
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
Deep learning methods have shown remarkable performance in image denoisi...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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07/31/2023
Random Sub-Samples Generation for Self-Supervised Real Image Denoising
With sufficient paired training samples, the supervised deep learning me...
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07/21/2023
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Despite the tremendous progress in neural radiance fields (NeRF), we sti...
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07/14/2023
Defect Classification in Additive Manufacturing Using CNN-Based Vision Processing
The development of computer vision and in-situ monitoring using visual s...
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07/07/2023
Language-free Compositional Action Generation via Decoupling Refinement
Composing simple elements into complex concepts is crucial yet challengi...
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07/04/2023
Random Walk on Multiple Networks
Random Walk is a basic algorithm to explore the structure of networks, w...
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07/01/2023
PersonaGen: A Tool for Generating Personas from User Feedback
Personas are crucial in software development processes, particularly in ...
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06/21/2023
FLGo: A Fully Customizable Federated Learning Platform
Federated learning (FL) has found numerous applications in healthcare, f...
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06/13/2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
We present WebGLM, a web-enhanced question-answering system based on the...
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06/13/2023
Compositionally Equivariant Representation Learning
Deep learning models often need sufficient supervision (i.e. labelled da...
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06/02/2023
Multi-Modal Emotion Recognition for Enhanced Requirements Engineering: A Novel Approach
Requirements engineering (RE) plays a crucial role in developing softwar...
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06/01/2023
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension
The multi-answer phenomenon, where a question may have multiple answers ...
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05/31/2023
Contrastive Hierarchical Discourse Graph for Scientific Document Summarization
The extended structural context has made scientific paper summarization ...
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05/30/2023
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
Causal reasoning, the ability to identify cause-and-effect relationship,...
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05/24/2023
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration
We identify two crucial limitations in the evaluation of recent parallel...
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05/24/2023
SummIt: Iterative Text Summarization via ChatGPT
Existing text summarization systems have made significant progress in re...
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05/24/2023
BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver
Open-domain question answering is a crucial task that often requires acc...
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05/23/2023
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Instruction tuning has emerged to enhance the capabilities of large lang...
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05/23/2023
Hierarchical Adaptive Voxel-guided Sampling for Real-time Applications in Large-scale Point Clouds
While point-based neural architectures have demonstrated their efficacy,...
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05/20/2023
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models
Multi-task learning (MTL) creates a single machine learning model called...
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05/16/2023
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
Event extraction aims to recognize pre-defined event triggers and argume...
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05/16/2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Diffusion models have gained significant attention in the realm of image...
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05/10/2023
Unsupervised Dense Retrieval Training with Web Anchors
In this work, we present an unsupervised retrieval method with contrasti...
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05/06/2023
Weighted Point Cloud Normal Estimation
Existing normal estimation methods for point clouds are often less robus...
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05/02/2023
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion
Extractive summarization aims to form a summary by directly extracting s...
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04/12/2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
We present ImageReward – the first general-purpose text-to-image human p...
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04/10/2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Graph self-supervised learning (SSL), including contrastive and generati...
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04/09/2023
Extractive Summarization via ChatGPT for Faithful Summary Generation
Extractive summarization is a crucial task in natural language processin...
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02/08/2023
Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes
Inverse problems involve making inference about unknown parameters of a ...
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12/30/2022
Convolutional Non-homogeneous Poisson Process with Application to Wildfire Risk Quantification for Power Delivery Networks
The current projection shows that much of the continental U.S. will have...
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12/15/2022
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
Dense retrieval aims to map queries and passages into low-dimensional ve...
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12/12/2022
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision
Recent developments in in-situ monitoring and process control in Additiv...
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12/10/2022
LEAD: Liberal Feature-based Distillation for Dense Retrieval
Knowledge distillation is often used to transfer knowledge from a strong...
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11/29/2022
ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information
ClueWeb22, the newest iteration of the ClueWeb line of datasets, provide...
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11/28/2022
Imperceptible Adversarial Attack via Invertible Neural Networks
Adding perturbations via utilizing auxiliary gradient information or dis...
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11/23/2022
Reason from Context with Self-supervised Learning
A tiny object in the sky cannot be an elephant. Context reasoning is cri...
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11/14/2022
Does Debiasing Inevitably Degrade the Model Performance
Gender bias in language models has attracted sufficient attention becaus...
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10/25/2022
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models
We introduce a new open information extraction (OIE) benchmark for pre-t...
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10/21/2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
Sampling proper negatives from a large document pool is vital to effecti...
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10/20/2022
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
People can acquire knowledge in an unsupervised manner by reading, and c...
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10/12/2022
Diffusion Models for Causal Discovery via Topological Ordering
Discovering causal relations from observational data becomes possible wi...
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10/10/2022
Learning Credit Assignment for Cooperative Reinforcement Learning
Cooperative multi-agent policy gradient (MAPG) algorithms have recently ...
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10/09/2022