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...
share
research
∙
06/08/2023
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
Although Large Language Models (LLMs) have demonstrated extraordinary ca...
research
∙
06/04/2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Chain-of-thought prompting (CoT) and tool augmentation have been validat...
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...
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...
research
∙
05/17/2023
Evaluating Object Hallucination in Large Vision-Language Models
Inspired by the superior language abilities of large language models (LL...
research
∙
04/25/2023
RenderDiffusion: Text Generation as Image Generation
Diffusion models have become a new generative paradigm for text generati...
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...
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...
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...
research
∙
06/01/2022
Negative Sampling for Contrastive Representation Learning: A Review
The learn-to-compare paradigm of contrastive representation learning (CR...
research
∙
05/03/2022
Learning to Transfer Prompts for Text Generation
Pretrained language models (PLMs) have made remarkable progress in text ...
research
∙
05/02/2022
Debiased Contrastive Learning of Unsupervised Sentence Representations
Recently, contrastive learning has been shown to be effective in improvi...
research
∙
02/04/2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Designing spectral convolutional networks is a challenging problem in gr...
research
∙
01/14/2022
A Survey of Pretrained Language Models Based Text Generation
Text Generation aims to produce plausible and readable text in human lan...
research
∙
09/28/2020
Pchatbot: A Large-Scale Dataset for Personalized Chatbot
Natural language dialogue systems raise great attention recently. As man...
research
∙
08/20/2019
