Papers Text Summarization
“Text Summarization” 태그가 달린 논문 1,413편 · 필터 해제
LexChronos: An Agentic Framework for Structured Event Timeline Extraction in Indian Jurisprudence
Understanding and predicting judicial outcomes demands nuanced analysis of legal documents. Traditional approaches treat judgments and proceedings as unstructured text, limiting the effectiveness of large language models…
Text SummarizationIterative Prompt Refinement for Dyslexia-Friendly Text Summarization Using GPT-4o
Dyslexia affects approximately 10% of the global population and presents persistent challenges in reading fluency and text comprehension. While existing assistive technologies address visual presentation, linguistic comp…
Text SummarizationAgenticSum: An Agentic Inference-Time Framework for Faithful Clinical Text Summarization
Large language models (LLMs) offer substantial promise for automating clinical text summarization, yet maintaining factual consistency remains challenging due to the length, noise, and heterogeneity of clinical documenta…
Text SummarizationBanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization
Evaluating factual consistency is essential for reliable text summarization, particularly in high-stakes domains such as healthcare and news. However, most existing evaluation metrics overlook Bangla, a widely spoken yet…
Question GenerationText SummarizationQuestion AnsweringText summarization via global structure awareness
Text summarization is a fundamental task in natural language processing (NLP), and the information explosion has made long-document processing increasingly demanding, making summarization essential. Existing research mai…
Text SummarizationFactSim: Fact-Checking for Opinion Summarization
We explore the need for more comprehensive and precise evaluation techniques for generative artificial intelligence (GenAI) in text summarization tasks, specifically in the area of opinion summarization. Traditional meth…
Text SummarizationNLP for Local Governance Meeting Records: A Focus Article on Tasks, Datasets, Metrics and Benchmark
Local governance meeting records are official documents, in the form of minutes or transcripts, documenting how proposals, discussions, and procedural actions unfold during institutional meetings. While generally structu…
Text SummarizationConsensus Group Relative Policy Optimization for Text Generation
Many strong decoding methods for text generation follow a sample-and-rerank paradigm: they draw multiple candidates, score each under a utility (reward) function using consensus across samples, and return the best one. A…
Machine TranslationText SummarizationText GenerationLarge Language Model and Formal Concept Analysis: a comparative study for Topic Modeling
Topic modeling is a research field finding increasing applications: historically from document retrieving, to sentiment analysis and text summarization. Large Language Models (LLM) are currently a major trend in text pro…
Text SummarizationSentiment AnalysisEnhancing Table Reasoning with Deterministic Table-State Rewards
Large Language Models (LLMs) struggle with multi-step reasoning over structured tables. The primary reason is the lack of explicit supervision for intermediate reasoning states. Existing learned reward models or executor…
Text SummarizationMulti-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs
Audio large language models (LLMs) enable unified speech understanding and generation, but adapting them to linguistically complex and dialect-rich settings such as Arabic-English remains challenging. We present a contro…
Speech Emotion RecognitionSpeech RecognitionText SummarizationExtractive summarization on a CMOS Ising machine
Extractive summarization (ES) aims to generate a concise summary by selecting a subset of sentences from a document while maximizing relevance and minimizing redundancy. Although modern ES systems achieve high accuracy u…
Text SummarizationModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation
Selecting a single high-quality output from multiple stochastic generations remains a fundamental challenge for large language models (LLMs), particularly in open-ended tasks where no canonical answer exists. While Best-…
Mathematical ReasoningText SummarizationCode GenerationText GenerationBridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM
Current advancements in Natural Language Processing (NLP) have largely favored resource-rich languages, leaving a significant gap in high-quality datasets for low-resource languages like Hindi. This scarcity is particula…
Extreme SummarizationText SummarizationComparing Approaches to Automatic Summarization in Less-Resourced Languages
Automatic text summarization has achieved high performance in high-resourced languages like English, but comparatively less attention has been given to summarization in less-resourced languages. This work compares a vari…
Text SummarizationData AugmentationSubjective Question Generation and Answer Evaluation using NLP
Natural Language Processing (NLP) is one of the most revolutionary technologies today. It uses artificial intelligence to understand human text and spoken words. It is used for text summarization, grammar checking, senti…
Question GenerationText SummarizationSentiment AnalysisPrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation
This work introduces {\it PrahokBART}, a compact pre-trained sequence-to-sequence model trained from scratch for Khmer using carefully curated Khmer and English corpora. We focus on improving the pre-training corpus qual…
Machine TranslationHeadline GenerationText SummarizationText GenerationTrueBrief: Faithful Summarization through Small Language Models
Large language models (LLMs) have exhibited remarkable proficiency in generating high-quality text; however, their propensity for producing hallucinations poses a significant challenge for their deployment in security-cr…
Text SummarizationSanvaad: A Multimodal Accessibility Framework for ISL Recognition and Voice-Based Interaction
Communication between deaf users, visually im paired users, and the general hearing population often relies on tools that support only one direction of interaction. To address this limitation, this work presents Sanvaad,…
Text SummarizationSpeech RecognitionThe Effect of Document Summarization on LLM-Based Relevance Judgments
Relevance judgments are central to the evaluation of Information Retrieval (IR) systems, but obtaining them from human annotators is costly and time-consuming. Large Language Models (LLMs) have recently been proposed as …
Document SummarizationInformation RetrievalText Summarization