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09/19/2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
Large language models (LLMs) with billions of parameters have demonstrat...
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09/18/2023
CB-Whisper: Contextual Biasing Whisper using TTS-based Keyword Spotting
End-to-end automatic speech recognition (ASR) systems often struggle to ...
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09/11/2023
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation
Remote sensing image semantic segmentation is an important problem for r...
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08/24/2023
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models
Instruction tuning is instrumental in enabling Large Language Models (LL...
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08/19/2023
An Empirical Study of CLIP for Text-based Person Search
Text-based Person Search (TBPS) aims to retrieve the person images using...
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08/16/2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Large language models (LLMs) have been widely used in various applicatio...
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08/13/2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Electroencephalography (EEG) is an objective tool for emotion recognitio...
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08/09/2023
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling
Video Semantic Role Labeling (VidSRL) aims to detect the salient events ...
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08/03/2023
XNLP: An Interactive Demonstration System for Universal Structured NLP
Structured Natural Language Processing (XNLP) is an important subset of ...
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07/25/2023
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm
In this paper, we conduct a holistic exploration of the Universal Decomp...
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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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07/12/2023
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking
Dividing ads ranking system into retrieval, early, and final stages is a...
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07/01/2023
THUIR2 at NTCIR-16 Session Search (SS) Task
Our team(THUIR2) participated in both FOSS and POSS subtasks of the NTCI...
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06/22/2023
Generative Multimodal Entity Linking
Multimodal Entity Linking (MEL) is the task of mapping mentions with mul...
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06/19/2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
Existing skeleton-based action recognition methods typically follow a ce...
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06/15/2023
Rethinking Document-Level Relation Extraction: A Reality Check
Recently, numerous efforts have continued to push up performance boundar...
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06/13/2023
Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment
Cross-lingual Machine Translation (MT) quality estimation plays a crucia...
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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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05/27/2023
Disambiguated Lexically Constrained Neural Machine Translation
Lexically constrained neural machine translation (LCNMT), which controls...
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05/26/2023
A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation
The robustness of deep neural networks (DNNs) is crucial to the hosting ...
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05/26/2023
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation
k-Nearest neighbor machine translation (kNN-MT) has attracted increasing...
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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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05/25/2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Domain generalization (DG) is a prevalent problem in real-world applicat...
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05/25/2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients
Federated Learning (FL) is a distributed learning paradigm that empowers...
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05/24/2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
Token dropping is a recently-proposed strategy to speed up the pretraini...
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05/22/2023
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
As ChatGPT and GPT-4 spearhead the development of Large Language Models ...
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05/22/2023
CopyNE: Better Contextual ASR by Copying Named Entities
Recent years have seen remarkable progress in automatic speech recogniti...
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05/21/2023
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese
Dialogue-level dependency parsing has received insufficient attention, e...
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05/20/2023
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction
Latest efforts on cross-lingual relation extraction (XRE) aggressively l...
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05/20/2023
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination
In this work, we investigate a more realistic unsupervised multimodal ma...
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05/19/2023
Generating Visual Spatial Description via Holistic 3D Scene Understanding
Visual spatial description (VSD) aims to generate texts that describe th...
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05/08/2023
Toward Adversarial Training on Contextualized Language Representation
Beyond the success story of adversarial training (AT) in the recent text...
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05/08/2023
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues
Conditional inference on joint textual and visual clues is a multi-modal...
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05/08/2023
Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!
Diffusion models have been successfully adapted to text generation tasks...
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05/05/2023
LMEye: An Interactive Perception Network for Large Language Models
Training a Large Visual Language Model (LVLM) from scratch, like GPT-4, ...
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05/03/2023
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
Pretrained Vision-Language Models (VLMs) have achieved remarkable perfor...
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04/25/2023
Test-Time Adaptation with Perturbation Consistency Learning
Currently, pre-trained language models (PLMs) do not cope well with the ...
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04/15/2023
Intent-aware Ranking Ensemble for Personalized Recommendation
Ranking ensemble is a critical component in real recommender systems. Wh...
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04/13/2023
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Universally modeling all typical information extraction tasks (UIE) with...
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03/24/2023
Towards Making the Most of ChatGPT for Machine Translation
ChatGPT shows remarkable capabilities for machine translation (MT). Seve...
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03/21/2023
Boosting Verified Training for Robust Image Classifications via Abstraction
This paper proposes a novel, abstraction-based, certified training metho...
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03/20/2023
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning
Neural machine translation (NMT) has achieved remarkable success in prod...
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03/20/2023
A Tiny Machine Learning Model for Point Cloud Object Classification
The design of a tiny machine learning model, which can be deployed in mo...
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03/14/2023
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening
Under the flourishing development in performance, current image-text ret...
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03/14/2023
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer
Non-autoregressive neural machine translation (NAT) models are proposed ...
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03/13/2023
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model
Transformer-based autoregressive (AR) methods have achieved appealing pe...
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03/12/2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning
Gradient-based meta-learning (GBML) algorithms are able to fast adapt to...
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03/12/2023
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
Non-autoregressive translation (NAT) reduces the decoding latency but su...
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03/02/2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting
Knowing the learning dynamics of policy is significant to unveiling the ...
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02/22/2023
