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...
share
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...
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...
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...
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 ...
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...
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...
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...
research
∙
06/28/2023
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills
Traditional multitask learning methods basically can only exploit common...
research
∙
05/27/2023
A Diffusion Model for Event Skeleton Generation
Event skeleton generation, aiming to induce an event schema skeleton gra...
research
∙
05/26/2023
Improved Visual Story Generation with Adaptive Context Modeling
Diffusion models developed on top of powerful text-to-image generation m...
research
∙
05/25/2023
Towards Higher Pareto Frontier in Multilingual Machine Translation
Multilingual neural machine translation has witnessed remarkable progres...
research
∙
05/24/2023
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models
Despite achieving remarkable performance on various vision-language task...
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...
research
∙
05/12/2023
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation
Causal reasoning ability is crucial for numerous NLP applications. Despi...
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...
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...
research
∙
05/02/2023
The Role of Summarization in Generative Agents: A Preliminary Perspective
Generative agents that simulate human society show tremendous potential ...
research
∙
04/19/2023
Is ChatGPT Equipped with Emotional Dialogue Capabilities?
This report presents a study on the emotional dialogue capability of Cha...
research
∙
04/14/2023
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
Large Language Models (LLMs), such as the LLaMA model, have demonstrated...
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...
research
∙
04/07/2023
Hierarchical Catalogue Generation for Literature Review: A Benchmark
Multi-document scientific summarization can extract and organize importa...
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...
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...
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...
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...
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...
research
∙
12/06/2022
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
Causal Emotion Entailment aims to identify causal utterances that are re...
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...
research
∙
10/28/2022
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia
Online encyclopedias, such as Wikipedia, have been well-developed and re...
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...
research
∙
10/06/2022
A Distributional Lens for Multi-Aspect Controllable Text Generation
Multi-aspect controllable text generation is a more challenging and prac...
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 ...
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...
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...
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...
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 ...
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...
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...
research
∙
05/22/2022
A Graph Enhanced BERT Model for Event Prediction
Predicting the subsequent event for an existing event context is an impo...
research
∙
05/12/2022
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning
Understanding causality has vital importance for various Natural Languag...
research
∙
05/03/2022
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation
Although all-in-one-model multilingual neural machine translation (MNMT)...
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...
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...
research
∙
12/16/2021
Distilled Dual-Encoder Model for Vision-Language Understanding
We propose a cross-modal attention distillation framework to train a dua...
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...
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...
research
∙
07/07/2021
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
With the development of dialogue systems and natural language generation...
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...
research
∙
04/30/2021