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08/15/2023
The L_q-weighted dual programming of the linear Chebyshev approximation and an interior-point method
Given samples of a real or complex-valued function on a set of distinct ...
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08/14/2023
A convex dual programming for the rational minimax approximation and Lawson's iteration
Computing the discrete rational minimax approximation in the complex pla...
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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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06/25/2023
Masked conditional variational autoencoders for chromosome straightening
Karyotyping is of importance for detecting chromosomal aberrations in hu...
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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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05/23/2023
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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05/15/2023
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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02/22/2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
ChatGPT is a recent chatbot service released by OpenAI and is receiving ...
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12/17/2022
Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis
User and product information associated with a review is useful for sent...
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11/15/2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Pre-trained language models (PLMs) are known to improve the generalizati...
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09/28/2022
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Current NLP techniques have been greatly applied in different domains. I...
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08/24/2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
Few-shot Named Entity Recognition (NER) is imperative for entity tagging...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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04/15/2022
Towards Fine-grained Causal Reasoning and QA
Understanding causality is key to the success of NLP applications, espec...
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04/14/2022
Challenges for Open-domain Targeted Sentiment Analysis
Since previous studies on open-domain targeted sentiment analysis are li...
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03/24/2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
We present a novel rationale-centric framework with human-in-the-loop – ...
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01/05/2022
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
Financial forecasting has been an important and active area of machine l...
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06/29/2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
While state-of-the-art NLP models have been achieving the excellent perf...
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06/29/2021
Fact Check: Analyzing Financial Events from Multilingual News Sources
The explosion in the sheer magnitude and complexity of financial news da...
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10/23/2020
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Corporate mergers and acquisitions (M A) account for billions of dolla...
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02/13/2019