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08/24/2023
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis Benchmark]
The field of urban spatial-temporal prediction is advancing rapidly with...
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08/01/2023
Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation
Interpreting ancient Chinese has been the key to comprehending vast Chin...
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07/21/2023
Alleviating the Long-Tail Problem in Conversational Recommender Systems
Conversational recommender systems (CRS) aim to provide the recommendati...
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07/16/2023
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
Despite the superior performance, Large Language Models (LLMs) require s...
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06/19/2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
Although pre-trained language models (PLMs) have recently advanced the r...
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06/05/2023
Improving Conversational Recommendation Systems via Counterfactual Data Simulation
Conversational recommender systems (CRSs) aim to provide recommendation ...
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06/04/2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Chain-of-thought prompting (CoT) and tool augmentation have been validat...
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05/26/2023
Zero-shot Visual Question Answering with Language Model Feedback
In this paper, we propose a novel language model guided captioning appro...
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05/26/2023
Learning to Imagine: Visually-Augmented Natural Language Generation
People often imagine relevant scenes to aid in the writing process. In t...
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05/24/2023
Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing
Most research about natural language generation (NLG) relies on evaluati...
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05/23/2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
Although large language models (LLMs) have achieved excellent performanc...
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05/22/2023
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
The recent success of large language models (LLMs) has shown great poten...
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05/19/2023
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
Large language models (LLMs), such as ChatGPT, are prone to generate hal...
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05/18/2023
The Web Can Be Your Oyster for Improving Large Language Models
Large language models (LLMs) encode a large amount of world knowledge. H...
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05/17/2023
Evaluating Object Hallucination in Large Vision-Language Models
Inspired by the superior language abilities of large language models (LL...
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05/16/2023
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
In this paper, we study how to improve the zero-shot reasoning ability o...
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05/15/2023
Large Language Models are Zero-Shot Rankers for Recommender Systems
Recently, large language models (LLMs) (e.g. GPT-4) have demonstrated im...
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05/11/2023
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Large language models (LLMs) demonstrate impressive multilingual capabil...
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05/11/2023
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
In the past decades, recommender systems have attracted much attention i...
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05/06/2023
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation
Recently, continuous diffusion models (CDM) have been introduced into no...
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04/27/2023
Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark
As deep learning technology advances and more urban spatial-temporal dat...
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04/25/2023
RenderDiffusion: Text Generation as Image Generation
Diffusion models have become a new generative paradigm for text generati...
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04/21/2023
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction
Learning effective high-order feature interactions is very crucial in th...
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03/27/2023
Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture
In this paper, we propose a highly parameter-efficient approach to scali...
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03/12/2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
Non-autoregressive (NAR) text generation has attracted much attention in...
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02/28/2023
A Survey on Long Text Modeling with Transformers
Modeling long texts has been an essential technique in the field of natu...
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01/19/2023
PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction
As a core technology of Intelligent Transportation System, traffic flow ...
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01/16/2023
Continuous Trajectory Generation Based on Two-Stage GAN
Simulating the human mobility and generating large-scale trajectories ar...
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12/26/2022
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
To facilitate research on text generation, this paper presents a compreh...
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12/15/2022
Visually-augmented pretrained language models for NLP tasks without images
Although pre-trained language models (PLMs) have shown impressive perfor...
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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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12/02/2022
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Multi-hop Question Answering over Knowledge Graph (KGQA) aims to find th...
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11/21/2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
With the growth of high-dimensional sparse data in web-scale recommender...
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10/24/2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
We study the text generation task under the approach of pre-trained lang...
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10/22/2022
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Recently, the generality of natural language text has been leveraged to ...
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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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10/21/2022
Privacy-Preserved Neural Graph Similarity Learning
To develop effective and efficient graph similarity learning (GSL) model...
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06/24/2022
MVP: Multi-task Supervised Pre-training for Natural Language Generation
Pre-trained language models (PLMs) have achieved notable success in natu...
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06/19/2022
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Conversational recommender systems (CRS) aim to proactively elicit user ...
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06/15/2022
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
In order to support the study of recent advances in recommender systems,...
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06/13/2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
This paper aims to advance the mathematical intelligence of machines by ...
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06/13/2022
Towards Universal Sequence Representation Learning for Recommender Systems
In order to develop effective sequential recommenders, a series of seque...
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06/10/2022
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation
Relevant recommendation is a special recommendation scenario which provi...
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06/06/2022
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
Recently, sequential recommendation has emerged as a widely studied topi...
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06/01/2022
Negative Sampling for Contrastive Representation Learning: A Review
The learn-to-compare paradigm of contrastive representation learning (CR...
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05/22/2022
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
A large-scale recommender system usually consists of recall and ranking ...
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05/04/2022
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models
Commonsense reasoning in natural language is a desired ability of artifi...
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05/03/2022
Learning to Transfer Prompts for Text Generation
Pretrained language models (PLMs) have made remarkable progress in text ...
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05/03/2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
Nowadays, pretrained language models (PLMs) have dominated the majority ...
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05/02/2022