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Found 10 papers, 6 papers with code
Naive Bayes-based Context Extension for Large Language Models
However, conventional In-Context Learning (ICL) approaches are often impeded by length limitations of transformer architecture, which pose challenges when attempting to effectively integrate supervision from a substantial number of demonstration examples.
Rank-Aware Negative Training for Semi-Supervised Text Classification
To alleviate the noisy information, we adapt a reasoning with uncertainty-based approach to rank the unlabeled texts based on the evidential support received from the labeled texts.
ZLPR: A Novel Loss for Multi-label Classification
To support the application of deep learning in multi-label classification (MLC) tasks, we propose the ZLPR (zero-bounded log-sum-exp \& pairwise rank-based) loss in this paper.
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition
The ultimate goal is to enable a global view that considers the beginning and the end positions to predict the entity.
BERT-ASC: Implicit Aspect Representation Learning through Auxiliary-Sentence Construction for Sentiment Analysis
Unfortunately, the aspect is often expressed implicitly through a set of representatives and thus renders implicit mapping process unattainable unless sufficient labeled examples are available.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention
Emotion recognition from speech is a challenging task.
RoFormer: Enhanced Transformer with Rotary Position Embedding
Then, we propose a novel method named Rotary Position Embedding(RoPE) to effectively leverage the positional information.
Ranked #1 on
Semantic Text Matching
on CAIL2019-SCM - test
The method to increase the thrust of high Mach number Scramjets
If the velocity of pre-combustion shock wave is faster than the velocity in the isolator, it will propagate upstream and cause the engine unstart.
Fluid Dynamics
TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation
Existing NL2SQL datasets assume that condition values should appear exactly in natural language questions and the queries are answerable given the table.
Technical report on Conversational Question Answering
Conversational Question Answering is a challenging task since it requires understanding of conversational history.
