Improving short text classification with augmented data using GPT-3
GPT-3 is a large-scale natural language model developed by OpenAI that can perform many
different tasks, including topic classification. Although researchers claim that it requires only …
different tasks, including topic classification. Although researchers claim that it requires only …
Mprompt: Exploring multi-level prompt tuning for machine reading comprehension
The large language models have achieved superior performance on various natural
language tasks. One major drawback of such approaches is they are resource-intensive in …
language tasks. One major drawback of such approaches is they are resource-intensive in …
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization
Data visualization serves as a critical means for presenting data and mining its valuable
insights. The task of chart summarization, through natural language processing techniques …
insights. The task of chart summarization, through natural language processing techniques …
Efficient fine-tuning large language models for knowledge-aware response planning
Abstract Large Language Models (LLMs) have shown impressive emergent language
capabilities, especially in applications with high ambiguity, such as language reasoning and …
capabilities, especially in applications with high ambiguity, such as language reasoning and …
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
Machine Reading Comprehension (MRC) poses a significant challenge in the field of
Natural Language Processing (NLP). While mainstream MRC methods predominantly …
Natural Language Processing (NLP). While mainstream MRC methods predominantly …
QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries
Answering logical questions with a knowledge graph has been a critical research focus
because this needs to reason and synthesize information. Previous studies have mainly …
because this needs to reason and synthesize information. Previous studies have mainly …
Natural Response Generation for Chinese Reading Comprehension
Machine reading comprehension (MRC) is an important area of conversation agents and
draws a lot of attention. However, there is a notable limitation to current MRC benchmarks …
draws a lot of attention. However, there is a notable limitation to current MRC benchmarks …
Incongruence Identification in Eyewitness Testimony
A Nair, Z Afroz, MS Akhtar - arxiv preprint arxiv:2502.05650, 2025 - arxiv.org
Incongruence detection in eyewitness narratives is critical for understanding the reliability of
testimonies, yet traditional approaches often fail to address the nuanced inconsistencies …
testimonies, yet traditional approaches often fail to address the nuanced inconsistencies …
Investigating the Gap Between Single-Hop and Multi-Hop Questions in Closed-Book Question Answering via Question Decomposition
Transformer-based language models (LMs) have been shown to perform question
answering (QA) competitively even when removing context and using only questions as …
answering (QA) competitively even when removing context and using only questions as …
Evaluating Top-k RAG-based approach for Game Review Generation
P Chauhan, RK Sahani, S Datta, A Qadir… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Having access to public opinion for a particular product can be a cumbersome task. There
are multiple reviews for the same product. Some may be good or bad depending on the bias …
are multiple reviews for the same product. Some may be good or bad depending on the bias …