b'Bing Qin'

research

∙ 09/11/2023

From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery

Molecule discovery serves as a cornerstone in numerous scientific domain...

0 Yuhan Chen, et al. ∙

research

∙ 09/08/2023

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature

The application of Large Language Models (LLMs) to the medical domain ha...

0 Yanrui Du, et al. ∙

research

∙ 09/08/2023

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese

Large Language Models (LLMs) have demonstrated remarkable success in div...

0 Haochun Wang, et al. ∙

research

∙ 09/08/2023

Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification

Prompt-based classification adapts tasks to a cloze question format util...

0 Haochun Wang, et al. ∙

research

∙ 09/08/2023

GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue

Pre-trained models have achieved success in Chinese Short Text Matching ...

0 Yanrui Du, et al. ∙

research

∙ 08/07/2023

Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization

Meeting summarization has emerged as a promising technique for providing...

0 Xiachong Feng, et al. ∙

research

∙ 07/06/2023

UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language

Decoding text stimuli from cognitive signals (e.g. fMRI) enhances our un...

0 Nuwa Xi, et al. ∙

research

∙ 06/29/2023

Exploring Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion

Sparse knowledge graph (KG) scenarios pose a challenge for previous Know...

0 Tao He, et al. ∙

research

∙ 06/28/2023

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills

Traditional multitask learning methods basically can only exploit common...

0 Zhangyin Feng, et al. ∙

research

∙ 05/27/2023

A Diffusion Model for Event Skeleton Generation

Event skeleton generation, aiming to induce an event schema skeleton gra...

0 Fangqi Zhu, et al. ∙

research

∙ 05/26/2023

Improved Visual Story Generation with Adaptive Context Modeling

Diffusion models developed on top of powerful text-to-image generation m...

0 Zhangyin Feng, et al. ∙

research

∙ 05/25/2023

Towards Higher Pareto Frontier in Multilingual Machine Translation

Multilingual neural machine translation has witnessed remarkable progres...

0 Yichong Huang, et al. ∙

research

∙ 05/24/2023

SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models

Despite achieving remarkable performance on various vision-language task...

0 Zekun Wang, et al. ∙

research

∙ 05/19/2023

Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate

Large Language Models (LLMs) have demonstrated human-like intelligence a...

0 Kai Xiong, et al. ∙

research

∙ 05/12/2023

Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation

Causal reasoning ability is crucial for numerous NLP applications. Despi...

0 Jinglong Gao, et al. ∙

research

∙ 05/08/2023

Improving Cross-Task Generalization with Step-by-Step Instructions

Instruction tuning has been shown to be able to improve cross-task gener...

0 Yang Wu, et al. ∙

research

∙ 05/05/2023

TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition

Emotion Support Conversation (ESC) is an emerging and challenging task w...

0 Weixiang Zhao, et al. ∙

research

∙ 05/02/2023

The Role of Summarization in Generative Agents: A Preliminary Perspective

Generative agents that simulate human society show tremendous potential ...

0 Xiachong Feng, et al. ∙

research

∙ 04/19/2023

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

This report presents a study on the emotional dialogue capability of Cha...

0 Weixiang Zhao, et al. ∙

research

∙ 04/14/2023

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

Large Language Models (LLMs), such as the LLaMA model, have demonstrated...

0 Haochun Wang, et al. ∙

research

∙ 04/12/2023

Global Prompt Cell: A Portable Control Module for Effective Prompt

As a novel approach to tuning pre-trained models, prompt tuning involves...

0 Chi Liu, et al. ∙

research

∙ 04/07/2023

Hierarchical Catalogue Generation for Literature Review: A Benchmark

Multi-document scientific summarization can extract and organize importa...

0 Kun Zhu, et al. ∙

research

∙ 02/20/2023

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training

Although large-scale video-language pre-training models, which usually b...

0 Weihong Zhong, et al. ∙

research

∙ 01/23/2023

Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning

Electroencephalography-to-Text generation (EEG-to-Text), which aims to d...

0 Xiachong Feng, et al. ∙

research

∙ 12/20/2022

Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning

Stance detection models may tend to rely on dataset bias in the text par...

0 Jianhua Yuan, et al. ∙

research

∙ 12/16/2022

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks

Causal chain reasoning (CCR) is an essential ability for many decision-m...

0 Kai Xiong, et al. ∙

research

∙ 12/16/2022

Controllable Text Generation via Probability Density Estimation in the Latent Space

Previous work on controllable text generation has explored the idea of c...

0 Yuxuan Gu, et al. ∙

research

∙ 12/06/2022

Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment

Causal Emotion Entailment aims to identify causal utterances that are re...

0 Weixiang Zhao, et al. ∙

research

∙ 11/07/2022

BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations

This paper presents BigCilin, the first Chinese open-domain knowledge gr...

0 Ming Liu, et al. ∙

research

∙ 10/28/2022

Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia

Online encyclopedias, such as Wikipedia, have been well-developed and re...

0 Haojie Pan, et al. ∙

research

∙ 10/08/2022

Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness

As a critical step to achieve human-like chatbots, empathetic response g...

0 Weixiang Zhao, et al. ∙

research

∙ 10/06/2022

A Distributional Lens for Multi-Aspect Controllable Text Generation

Multi-aspect controllable text generation is a more challenging and prac...

0 Yuxuan Gu, et al. ∙

research

∙ 09/20/2022

An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition

Recent works on multi-modal emotion recognition move towards end-to-end ...

0 Yang Wu, et al. ∙

research

∙ 09/14/2022

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words

Prompt-based fine-tuning for pre-trained models has proven effective for...

5 Haochun Wang, et al. ∙

research

∙ 09/06/2022

Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition

As aspect-level sentiment labels are expensive and labor-intensive to ac...

0 Pengfei Deng, et al. ∙

research

∙ 07/26/2022

Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark

Modern Entity Linking (EL) systems entrench a popularity bias, yet there...

0 Zhenran Xu, et al. ∙

research

∙ 07/04/2022

VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion

Knowledge Graph Completion has been widely studied recently to complete ...

6 Tao He, et al. ∙

research

∙ 06/28/2022

MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations

Multimodal fine-grained sentiment analysis has recently attracted increa...

5 Hao Yang, et al. ∙

research

∙ 05/25/2022

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation

Many recent works indicate that the deep neural networks tend to take da...

0 Yanrui Du, et al. ∙

research

∙ 05/22/2022

A Graph Enhanced BERT Model for Event Prediction

Predicting the subsequent event for an existing event context is an impo...

0 Li Du, et al. ∙

research

∙ 05/12/2022

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning

Understanding causality has vital importance for various Natural Languag...

0 Li Du, et al. ∙

research

∙ 05/03/2022

OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation

Although all-in-one-model multilingual neural machine translation (MNMT)...

0 Yichong Huang, et al. ∙

research

∙ 03/01/2022

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors

Multimodal sentiment analysis has attracted increasing attention and lot...

0 Yang Wu, et al. ∙

research

∙ 02/24/2022

Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words

The standard BERT adopts subword-based tokenization, which may break a w...

15 Zhangyin Feng, et al. ∙

research

∙ 12/16/2021

Distilled Dual-Encoder Model for Vision-Language Understanding

We propose a cross-modal attention distillation framework to train a dua...

0 Zekun Wang, et al. ∙

research

∙ 08/20/2021

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps

Providing timely accessibility reminders of a point-of-interest (POI) pl...

0 Yibo Sun, et al. ∙

research

∙ 07/21/2021

CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision

Recent work has shown success in incorporating pre-trained models like B...

0 Zhongyang Li, et al. ∙

research

∙ 07/07/2021

A Survey on Dialogue Summarization: Recent Advances and New Frontiers

With the development of dialogue systems and natural language generation...

0 Xiachong Feng, et al. ∙

research

∙ 05/26/2021

Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization

Current dialogue summarization systems usually encode the text with a nu...

0 Xiachong Feng, et al. ∙

research

∙ 04/30/2021

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Recently, various neural encoder-decoder models pioneered by Seq2Seq fra...

0 Yichong Huang, et al. ∙

Bing Qin

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