b'Ji-Rong Wen'

research

∙ 08/30/2023

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection

Language models (LMs) have revolutionized the way we interact with infor...

0 Hongjin Qian, et al. ∙

research

∙ 08/14/2023

Large Language Models for Information Retrieval: A Survey

As a primary means of information acquisition, information retrieval (IR...

0 Yutao Zhu, et al. ∙

research

∙ 08/10/2023

Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization

Video moment localization aims to retrieve the target segment of an untr...

0 Zezhong Lv, et al. ∙

research

∙ 08/03/2023

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling

Text-to-motion generation has gained increasing attention, but most exis...

0 Zhao Yang, et al. ∙

research

∙ 08/02/2023

Spatio-Temporal Branching for Motion Prediction using Motion Increments

Human motion prediction (HMP) has emerged as a popular research topic du...

0 Jiexin Wang, et al. ∙

research

∙ 07/21/2023

Alleviating the Long-Tail Problem in Conversational Recommender Systems

Conversational recommender systems (CRS) aim to provide the recommendati...

0 Zhipeng Zhao, et al. ∙

research

∙ 07/19/2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

The research field of Information Retrieval (IR) has evolved significant...

0 Qingyao Ai, et al. ∙

research

∙ 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...

0 Peiyu Liu, et al. ∙

research

∙ 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...

0 Wayne Xin Zhao, et al. ∙

research

∙ 06/08/2023

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

Although Large Language Models (LLMs) have demonstrated extraordinary ca...

0 Jiongnan Liu, et al. ∙

research

∙ 06/05/2023

Improving Conversational Recommendation Systems via Counterfactual Data Simulation

Conversational recommender systems (CRSs) aim to provide recommendation ...

0 Xiaolei Wang, et al. ∙

research

∙ 06/04/2023

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning

Chain-of-thought prompting (CoT) and tool augmentation have been validat...

0 Beichen Zhang, et al. ∙

research

∙ 05/26/2023

Zero-shot Visual Question Answering with Language Model Feedback

In this paper, we propose a novel language model guided captioning appro...

0 Yifan Du, et al. ∙

research

∙ 05/26/2023

Learning to Imagine: Visually-Augmented Natural Language Generation

People often imagine relevant scenes to aid in the writing process. In t...

0 Tianyi Tang, et al. ∙

research

∙ 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...

0 Zhipeng Chen, et al. ∙

research

∙ 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...

0 Xiaolei Wang, et al. ∙

research

∙ 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...

0 Junyi Li, et al. ∙

research

∙ 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...

0 Junyi Li, et al. ∙

research

∙ 05/17/2023

Evaluating Object Hallucination in Large Vision-Language Models

Inspired by the superior language abilities of large language models (LL...

0 Yifan Li, et al. ∙

research

∙ 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...

0 Jinhao Jiang, et al. ∙

research

∙ 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...

0 Junjie Zhang, et al. ∙

research

∙ 05/06/2023

Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation

Recently, continuous diffusion models (CDM) have been introduced into no...

0 Kun Zhou, et al. ∙

research

∙ 04/25/2023

RenderDiffusion: Text Generation as Image Generation

Diffusion models have become a new generative paradigm for text generati...

0 Junyi Li, et al. ∙

research

∙ 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...

0 Zhen Tian, et al. ∙

research

∙ 04/10/2023

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus

In this paper, we introduce a new NLP task – generating short factual ar...

0 Hongjing Qian, et al. ∙

research

∙ 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...

0 Peiyu Liu, et al. ∙

research

∙ 03/12/2023

Diffusion Models for Non-autoregressive Text Generation: A Survey

Non-autoregressive (NAR) text generation has attracted much attention in...

0 Yifan Li, et al. ∙

research

∙ 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...

0 Tianyi Tang, et al. ∙

research

∙ 12/15/2022

Visually-augmented pretrained language models for NLP tasks without images

Although pre-trained language models (PLMs) have shown impressive perfor...

0 Hangyu Guo, et al. ∙

research

∙ 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...

0 Kun Zhou, et al. ∙

research

∙ 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...

0 Jinhao Jiang, et al. ∙

research

∙ 11/30/2022

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection

Deep semantic matching aims to discriminate the relationship between doc...

0 Jing Yao, et al. ∙

research

∙ 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...

0 Zhen Tian, et al. ∙

research

∙ 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...

0 Junyi Li, et al. ∙

research

∙ 10/21/2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval

Sampling proper negatives from a large document pool is vital to effecti...

0 Kun Zhou, et al. ∙

research

∙ 10/21/2022

Privacy-Preserved Neural Graph Similarity Learning

To develop effective and efficient graph similarity learning (GSL) model...

0 Yupeng Hou, et al. ∙

research

∙ 09/16/2022

Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity

While self-supervised learning techniques are often used to mining impli...

0 Jiangmeng Li, et al. ∙

research

∙ 08/23/2022

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search

Users' search tasks have become increasingly complicated, requiring mult...

0 Haonan Chen, et al. ∙

research

∙ 08/19/2022

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer

Document retrieval has been extensively studied within the index-retriev...

0 Yujia Zhou, et al. ∙

research

∙ 08/15/2022

STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval

We propose a video feature representation learning framework called STAR...

0 Guoping Zhao, et al. ∙

research

∙ 07/09/2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction

As an essential operation of legal retrieval, legal case matching plays ...

0 Weijie Yu, et al. ∙

research

∙ 06/24/2022

MVP: Multi-task Supervised Pre-training for Natural Language Generation

Pre-trained language models (PLMs) have achieved notable success in natu...

6 Tianyi Tang, et al. ∙

research

∙ 06/19/2022

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning

Conversational recommender systems (CRS) aim to proactively elicit user ...

0 Xiaolei Wang, et al. ∙

research

∙ 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,...

0 Wayne Xin Zhao, et al. ∙

research

∙ 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 ...

0 Wayne Xin Zhao, et al. ∙

research

∙ 06/13/2022

Towards Universal Sequence Representation Learning for Recommender Systems

In order to develop effective sequential recommenders, a series of seque...

0 Yupeng Hou, et al. ∙

research

∙ 06/10/2022

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation

Relevant recommendation is a special recommendation scenario which provi...

0 Zihan Lin, et al. ∙

research

∙ 06/01/2022

Negative Sampling for Contrastive Representation Learning: A Review

The learn-to-compare paradigm of contrastive representation learning (CR...

0 Lanling Xu, et al. ∙

research

∙ 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...

0 Jinhao Jiang, et al. ∙

research

∙ 05/03/2022

Learning to Transfer Prompts for Text Generation

Pretrained language models (PLMs) have made remarkable progress in text ...

5 Junyi Li, et al. ∙

Ji-Rong Wen

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