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09/14/2023
VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue
Visually-grounded dialog systems, which integrate multiple modes of comm...
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09/04/2023
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking
Chinese geographic re-ranking task aims to find the most relevant addres...
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09/02/2023
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
Large language models (LLMs) have recently demonstrated remarkable capab...
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08/22/2023
Four years of multi-modal odometry and mapping on the rail vehicles
Precise, seamless, and efficient train localization as well as long-term...
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08/21/2023
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
Large language models (LLMs) have shown impressive ability for open-doma...
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08/14/2023
EcomGPT: Instruction-tuning Large Language Model with Chain-of-Task Tasks for E-commerce
Recently, instruction-following Large Language Models (LLMs) , represent...
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08/10/2023
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
Training large language models (LLMs) with open-domain instruction data ...
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08/07/2023
COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment
Vision-Language Pre-training (VLP) methods based on object detection enj...
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08/03/2023
Wider and Deeper LLM Networks are Fairer LLM Evaluators
Measuring the quality of responses generated by LLMs is a challenging ta...
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07/19/2023
CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility
With the rapid evolution of large language models (LLMs), there is a gro...
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07/17/2023
BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models...
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07/12/2023
PolyLM: An Open Source Polyglot Large Language Model
Large language models (LLMs) demonstrate remarkable ability to comprehen...
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07/04/2023
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Document understanding refers to automatically extract, analyze and comp...
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06/30/2023
Preference Ranking Optimization for Human Alignment
Large language models (LLMs) often contain misleading content, emphasizi...
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06/29/2023
Unified Language Representation for Question Answering over Text, Tables, and Images
When trying to answer complex questions, people often rely on multiple s...
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06/24/2023
DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins
Advances in deep generative models shed light on de novo molecule genera...
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06/21/2023
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
Entity Linking (EL) is a fundamental task for Information Extraction and...
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06/07/2023
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks
To promote the development of Vision-Language Pre-training (VLP) and mul...
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05/26/2023
Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark
Existing multimodal task-oriented dialog data fails to demonstrate the d...
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05/25/2023
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts
We introduce NaSGEC, a new dataset to facilitate research on Chinese gra...
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05/24/2023
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
Perceiving multi-modal information and fulfilling dialogues with humans ...
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05/22/2023
Iterative Forward Tuning Boosts In-context Learning in Language Models
Large language models (LLMs) have exhibited an emergent in-context learn...
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05/19/2023
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
Recently, speech-text pre-training methods have shown remarkable success...
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05/18/2023
Causal Document-Grounded Dialogue Pre-training
The goal of document-grounded dialogue (DocGD) is to generate a response...
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05/15/2023
Knowledge Rumination for Pre-trained Language Models
Previous studies have revealed that vanilla pre-trained language models ...
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05/14/2023
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering
Existing knowledge-enhanced methods have achieved remarkable results in ...
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05/11/2023
Long-Tailed Question Answering in an Open World
Real-world data often have an open long-tailed distribution, and buildin...
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05/11/2023
Domain Incremental Lifelong Learning in an Open World
Lifelong learning (LL) is an important ability for NLP models to learn n...
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05/11/2023
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
With a fast developing pace of geographic applications, automatable and ...
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05/08/2023
Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation
Cross-modal contrastive learning in vision language pretraining (VLP) fa...
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05/05/2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
The MultiCoNER 2 shared task aims to tackle multilingual named entity re...
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05/05/2023
Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
Out-of-Domain (OOD) intent detection is vital for practical dialogue sys...
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05/05/2023
A Survey on Out-of-Distribution Detection in NLP
Out-of-distribution (OOD) detection is essential for the reliable and sa...
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05/03/2023
Transforming Visual Scene Graphs to Image Captions
We propose to Transform Scene Graphs (TSG) into more descriptive caption...
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04/27/2023
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Large language models (LLMs) have demonstrated impressive zero-shot abil...
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04/24/2023
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation
Non-AutoRegressive (NAR) text generation models have drawn much attentio...
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04/17/2023
VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning
Recent studies have demonstrated the potential of cross-lingual transfer...
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04/16/2023
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human
In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...
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04/14/2023
API-Bank: A Benchmark for Tool-Augmented LLMs
Recent research has shown that Large Language Models (LLMs) can utilize ...
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04/11/2023
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Reinforcement Learning from Human Feedback (RLHF) facilitates the alignm...
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03/18/2023
Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain
Automatic evaluation metrics have been facilitating the rapid developmen...
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03/01/2023
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training
Vision-and-language multi-modal pretraining and fine-tuning have shown g...
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02/02/2023
Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling
Molecular dynamic simulations are important in computational physics, ch...
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02/01/2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Recent years have witnessed a big convergence of language, vision, and m...
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01/31/2023
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
Table-based reasoning has shown remarkable progress in combining deep mo...
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01/25/2023
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
Cross-domain NER is a challenging task to address the low-resource probl...
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01/11/2023
A Multi-Modal Geographic Pre-Training Method
As a core task in location-based services (LBS) (e.g., navigation maps),...
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01/05/2023
Adaptively Clustering Neighbor Elements for Image Captioning
We design a novel global-local Transformer named Ada-ClustFormer (ACF) t...
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01/05/2023
Learning Trajectory-Word Alignments for Video-Language Tasks
Aligning objects with words plays a critical role in Image-Language BERT...
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12/30/2022