[Paper Review] CTRLSum: Towards Generic Controllable Text Summarization (EMNLP 2022)
Published:
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Posts by Tags
Controllable Summarization
Decoding Strategy
[Paper Review] Faithfulness-Aware Decoding Strategies for Abstractive Summarization (EACL 2023)
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Faithfulness 향상을 위한 디코딩 전략
Evaluation Metric
[Paper Review] QuestEval: Summarization Asks for Fact-based Evaluation (EMNLP 2021)
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QA를 통해 요약 성능 테스트하기
Hallucination Detection
[Paper Review] Semantic Uncertainty: Linguistic Invariances For Uncertainty Estimation in Natural Language Generation (ICLR 2023)
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Semantic Uncertainty로 불확실성 측정하기
[Paper Review] SELFCHECKGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models (EMNLP 2023)
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Black-Box LLM으로 Hallucination 감지
Instruction Tuning
[Paper Review] Generating Summaries with Controllable Readability Levels (EMNLP 2023)
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가독성을 조절하여 요약문 생성하기
LLM Calibration
[Paper Review] Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback (EMNLP 2023)
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RLHF-LM으로 자신감 점수를 생성하기
[Paper Review] Semantic Uncertainty: Linguistic Invariances For Uncertainty Estimation in Natural Language Generation (ICLR 2023)
Published:
Semantic Uncertainty로 불확실성 측정하기
[Paper Review] SELFCHECKGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models (EMNLP 2023)
Published:
Black-Box LLM으로 Hallucination 감지
Large Language Models
[Paper Review] G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (EMNLP 2023)
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GPT-4로 NLG 평가하기
Lookahead Decoding
[Paper Review] Generating Summaries with Controllable Readability Levels (EMNLP 2023)
Published:
가독성을 조절하여 요약문 생성하기
Multi-dimenional Evaluation metric
[Paper Review] G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (EMNLP 2023)
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GPT-4로 NLG 평가하기
Natural Language Generation Evalutiona
[Paper Review] G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (EMNLP 2023)
Published:
GPT-4로 NLG 평가하기
Query-focused Summarization
[Paper Review] CTRLSum: Towards Generic Controllable Text Summarization (EMNLP 2022)
Published:
-ing
RLHF
[Paper Review] Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback (EMNLP 2023)
Published:
RLHF-LM으로 자신감 점수를 생성하기
Reinforcement Learning
[Paper Review] Generating Summaries with Controllable Readability Levels (EMNLP 2023)
Published:
가독성을 조절하여 요약문 생성하기
[Paper Review] Using Question Answering Rewards to Improve Abstractive Summarization (EMNLP 2021 Findings)
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QA 리워드를 통해 요약 성능 향상 시키기
Reinforcement Lerning
[Paper Review] Factually Consistent Summarization via Reinforcement Lerning with Textual Entailment Feedback (ACL 2023)
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Summarization에 RLEF 적용하기
Science Research Paper
[Research] How to Write a Good Science Research Paper
Published:
-ing
Summarization
[Paper Review] Generating Summaries with Controllable Readability Levels (EMNLP 2023)
Published:
가독성을 조절하여 요약문 생성하기
[Paper Review] QuestEval: Summarization Asks for Fact-based Evaluation (EMNLP 2021)
Published:
QA를 통해 요약 성능 테스트하기
[Paper Review] Using Question Answering Rewards to Improve Abstractive Summarization (EMNLP 2021 Findings)
Published:
QA 리워드를 통해 요약 성능 향상 시키기
Summarization"
[Paper Review] Factually Consistent Summarization via Reinforcement Lerning with Textual Entailment Feedback (ACL 2023)
Published:
Summarization에 RLEF 적용하기
Text Summarization
[Paper Review] Faithfulness-Aware Decoding Strategies for Abstractive Summarization (EACL 2023)
Published:
Faithfulness 향상을 위한 디코딩 전략
Writing Skills
[Research] How to Write a Good Science Research Paper
Published:
-ing