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09/07/2023
On Large Language Models' Selection Bias in Multi-Choice Questions
Multi-choice questions (MCQs) serve as a common yet important task forma...
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08/21/2023
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
Autonomous agents empowered by Large Language Models (LLMs) have undergo...
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08/17/2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Catastrophic forgetting (CF) is a phenomenon that occurs in machine lear...
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08/05/2023
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
EduChat (https://www.educhat.top/) is a large-scale language model (LLM)...
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07/31/2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Despite the advancements of open-source large language models (LLMs) and...
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07/29/2023
Towards Codable Text Watermarking for Large Language Models
As large language models (LLMs) generate texts with increasing fluency a...
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07/10/2023
TIM: Teaching Large Language Models to Translate with Comparison
Open-sourced large language models (LLMs) have demonstrated remarkable e...
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05/05/2023
DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection
In this paper, we propose a new detection framework for 3D small object ...
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03/18/2023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...
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03/16/2023
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
3D scene understanding plays a vital role in vision-based autonomous dri...
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03/07/2023
Is ChatGPT a Good NLG Evaluator? A Preliminary Study
Recently, the emergence of ChatGPT has attracted wide attention from the...
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03/03/2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Diffusion models (DMs) have become the new trend of generative models an...
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01/25/2023
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning
Federated Learning has become a widely-used framework which allows learn...
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01/11/2023
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
In this paper, we present a new method that reformulates point cloud com...
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12/06/2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
With the rising industrial attention to 3D virtual modeling technology, ...
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11/17/2022
Cross-Modal Adapter for Text-Video Retrieval
Text-video retrieval is an important multi-modal learning task, where th...
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11/16/2022
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME
Chinese Spelling Correction (CSC) is a task to detect and correct spelli...
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08/22/2022
A Simple Baseline for Multi-Camera 3D Object Detection
3D object detection with surrounding cameras has been a promising direct...
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08/19/2022
Causal Intervention Improves Implicit Sentiment Analysis
Despite having achieved great success for sentiment analysis, existing n...
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07/14/2022
AIParsing: Anchor-free Instance-level Human Parsing
Most state-of-the-art instance-level human parsing models adopt two-stag...
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07/12/2022
MetaAge: Meta-Learning Personalized Age Estimators
Different people age in different ways. Learning a personalized age esti...
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06/25/2022
Probing Causes of Hallucinations in Neural Machine Translations
Hallucination, one kind of pathological translations that bothers Neural...
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05/19/2022
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
In this paper, we present BEVerse, a unified framework for 3D perception...
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05/05/2022
Gait Recognition in the Wild: A Benchmark
Gait benchmarks empower the research community to train and evaluate hig...
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04/21/2022
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition
Face benchmarks empower the research community to train and evaluate hig...
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11/29/2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
We present Point-BERT, a new paradigm for learning Transformers to gener...
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11/12/2021
On Transferability of Prompt Tuning for Natural Language Understanding
Prompt tuning (PT) is a promising parameter-efficient method to utilize ...
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10/05/2021
MoEfication: Conditional Computation of Transformer Models for Efficient Inference
Transformer-based pre-trained language models can achieve superior perfo...
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09/14/2021
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
Automatically composing pop music with a satisfactory structure is an at...
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09/02/2021
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Neural Chat Translation (NCT) aims to translate conversational text betw...
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08/12/2021
PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management
The pre-trained model (PTM) is revolutionizing Artificial intelligence (...
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06/03/2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Attention is sparse in vision transformers. We observe the final predict...
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05/28/2021
Knowledge Inheritance for Pre-trained Language Models
Recent explorations of large-scale pre-trained language models (PLMs) su...
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10/12/2020
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
Generating a vivid, novel, and diverse essay with only several given top...
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12/19/2019
P^2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation
Humans are able to perform fast and accurate object pose estimation even...
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09/07/2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Graph Neural Networks (GNNs) have achieved promising performance on a wi...
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04/26/2019
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
In this paper, we propose to learn a deep fitting degree scoring network...
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03/26/2019
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds
3D object detection from raw and sparse point clouds has been far less t...
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12/20/2018
