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Found 13 papers, 7 papers with code
Identifying Exaggerated Language
While hyperbole is one of the most prevalent rhetorical devices, it is arguably one of the least studied devices in the figurative language processing community.
Don’t Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting
User targeting is an essential task in the modern advertising industry: given a package of ads for a particular category of products (e. g., green tea), identify the online users to whom the ad package should be targeted.
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
We hope that our findings can provide a deeper understanding of PEFT methods on various PTMs and SE downstream tasks.
LawBench: Benchmarking Legal Knowledge of Large Language Models
We hope this benchmark provides in-depth understanding of the LLMs' domain-specified capabilities and speed up the development of LLMs in the legal domain.
Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge
It is a difficult but necessary task to extract the key information for the cases from these textual materials and to clarify the dispute focus of related parties.
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
However, the relation between these two losses is not clear.
MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages
In this paper, we present mDIA, the first large-scale multilingual benchmark for dialogue generation across low- to high-resource languages.
Neural Program Repair: Systems, Challenges and Solutions
Automated Program Repair (APR) aims to automatically fix bugs in the source code.
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer
Given the fact of a case, Legal Judgment Prediction (LJP) involves a series of sub-tasks such as predicting violated law articles, charges and term of penalty.
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization
Code summarization aims to generate brief natural language descriptions for source code.
Learning Fine-grained Fact-Article Correspondence in Legal Cases
We believe that learning fine-grained correspondence between each single fact and law articles is crucial for an accurate and trustworthy AI system.
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
We propose Parametric Weights Standardization (PWS), a fast and robust to mini-batch size module used for conv filters, to solve the shift of the average gradient.
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
To improve the applicability and generalizability of research results, we analyzed what ingredients in a study would facilitate an understanding of why a ML/DL technique was selected for a specific SE problem.
