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09/04/2023
Global Topology of 3D Symmetric Tensor Fields
There have been recent advances in the analysis and visualization of 3D ...
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09/04/2023
Interactive Design and Optics-Based Visualization of Arbitrary Non-Euclidean Kaleidoscopic Orbifolds
Orbifolds are a modern mathematical concept that arises in the research ...
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09/03/2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
While large language models (LLMs) have demonstrated remarkable capabili...
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08/25/2023
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Evolutionary algorithms (EA), a class of stochastic search methods based...
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08/17/2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Catastrophic forgetting (CF) is a phenomenon that occurs in machine lear...
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08/09/2023
Scalable Hypergraph Visualization
Hypergraph visualization has many applications in network data analysis....
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07/31/2023
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation
In this technical report, we present our findings from the research cond...
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07/22/2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection
Graph structure patterns are widely used to model different area data re...
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07/18/2023
Zero-shot Query Reformulation for Conversational Search
As the popularity of voice assistants continues to surge, conversational...
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07/17/2023
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval
In this paper, we report our methods and experiments for the TREC Conver...
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07/14/2023
ConTrack: Contextual Transformer for Device Tracking in X-ray
Device tracking is an important prerequisite for guidance during endovas...
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07/14/2023
TVPR: Text-to-Video Person Retrieval and a New Benchmark
Most existing methods for text-based person retrieval focus on text-to-i...
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07/08/2023
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation
Most existing cross-lingual summarization (CLS) work constructs CLS corp...
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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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07/01/2023
Partial Linear Cox Model with Deep ReLU Networks for Interval-Censored Failure Time Data
The partial linear Cox model for interval-censoring is well-studied unde...
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06/20/2023
Explicit Syntactic Guidance for Neural Text Generation
Most existing text generation models follow the sequence-to-sequence par...
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06/19/2023
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations
Discourse analysis is an important task because it models intrinsic sema...
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06/15/2023
Opinion Tree Parsing for Aspect-based Sentiment Analysis
Extracting sentiment elements using pre-trained generative models has re...
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06/13/2023
Don't Leak Your Keys: Understanding, Measuring, and Exploiting the AppSecret Leaks in Mini-Programs
Mobile mini-programs in WeChat have gained significant popularity since ...
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06/13/2023
Uncovering and Exploiting Hidden APIs in Mobile Super Apps
Mobile applications, particularly those from social media platforms such...
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06/13/2023
SoK: Decoding the Super App Enigma: The Security Mechanisms, Threats, and Trade-offs in OS-alike Apps
The super app paradigm, exemplified by platforms such as WeChat and AliP...
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06/08/2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Instruction tuning large language models (LLMs) remains a challenging ta...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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05/30/2023
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
Recent works have introduced Abstract Meaning Representation (AMR) for D...
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05/26/2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering
The Open-Domain Question Answering (ODQA) task involves retrieving and s...
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05/26/2023
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering
Open-Domain Question Answering (ODQA) systems necessitate a reader model...
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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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05/23/2023
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms
The performance of current supervised AI systems is tightly connected to...
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05/23/2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Machine learning (ML) systems in natural language processing (NLP) face ...
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05/22/2023
Deepfake Text Detection in the Wild
Recent advances in large language models have enabled them to reach a le...
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05/22/2023
Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance
ChatGPT and GPT-4 have attracted substantial interest from both academic...
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05/22/2023
Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities
Non-autoregressive translation (NAT) models have been extensively invest...
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05/21/2023
Evaluating Open Question Answering Evaluation
This study focuses on the evaluation of Open Question Answering (Open-QA...
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05/20/2023
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion
Task-incremental continual learning refers to continually training a mod...
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05/20/2023
LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4
Generative Pre-trained Transformer 4 (GPT-4) demonstrates impressive cha...
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05/19/2023
ALT: An Automatic System for Long Tail Scenario Modeling
In this paper, we consider the problem of long tail scenario modeling wi...
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05/17/2023
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models
In this paper, we take the initiative to investigate the performance of ...
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05/15/2023
Measuring Consistency in Text-based Financial Forecasting Models
Financial forecasting has been an important and active area of machine l...
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05/14/2023
Learning to Generalize for Cross-domain QA
There have been growing concerns regarding the out-of-domain generalizat...
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05/13/2023
Temporal Consistent Automatic Video Colorization via Semantic Correspondence
Video colorization task has recently attracted wide attention. Recent me...
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05/12/2023
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning-based methods, such as unsup-SimCSE, have achieved ...
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05/10/2023
Investigating Forgetting in Pre-Trained Representations Through Continual Learning
Representation forgetting refers to the drift of contextualized represen...
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05/10/2023
MDD-Enabled Two-Tier Terahertz Fronthaul in Indoor Industrial Cell-Free Massive MIMO
To make indoor industrial cell-free massive multiple-input multiple-outp...
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05/08/2023
Target-Side Augmentation for Document-Level Machine Translation
Document-level machine translation faces the challenge of data sparsity ...
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05/08/2023
Token-level Fitting Issues of Seq2seq Models
Sequence-to-sequence (seq2seq) models have been widely used for natural ...
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05/03/2023
A Curriculum View of Robust Loss Functions
Robust loss functions are designed to combat the adverse impacts of labe...
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04/28/2023
Identification and Estimation of Causal Effects Using non-Gaussianity and Auxiliary Covariates
Assessing causal effects in the presence of unmeasured confounding is a ...
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04/26/2023
Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning
In the realm of urban transportation, metro systems serve as crucial and...
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04/14/2023
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Multi-organ segmentation, which identifies and separates different organ...
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04/13/2023
