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08/30/2023
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection
Language models (LMs) have revolutionized the way we interact with infor...
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08/14/2023
Large Language Models for Information Retrieval: A Survey
As a primary means of information acquisition, information retrieval (IR...
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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...
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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...
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08/02/2023
Spatio-Temporal Branching for Motion Prediction using Motion Increments
Human motion prediction (HMP) has emerged as a popular research topic du...
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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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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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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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06/08/2023
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
Although Large Language Models (LLMs) have demonstrated extraordinary ca...
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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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05/23/2023
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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05/11/2023
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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04/25/2023
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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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...
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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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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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11/30/2022
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection
Deep semantic matching aims to discriminate the relationship between doc...
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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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10/21/2022
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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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...
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08/23/2022
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search
Users' search tasks have become increasingly complicated, requiring mult...
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08/19/2022
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
Document retrieval has been extensively studied within the index-retriev...
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08/15/2022
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval
We propose a video feature representation learning framework called STAR...
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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 ...
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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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06/01/2022
Negative Sampling for Contrastive Representation Learning: A Review
The learn-to-compare paradigm of contrastive representation learning (CR...
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05/04/2022
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
