Text Generation
5,089 papers
Papers per year
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22
97
182
340
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679
953
1,058
218
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Papers
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
NAACL 2024
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
ICML 2024
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
ACL 2024
TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection
SemEval 2024
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
ACL 2024
UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
NAACL 2024
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective
ACL 2024
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing
EMNLP 2024
Understanding the Effects of Iterative Prompting on Truthfulness
ICML 2024
Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark
ACL 2024
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
NAACL 2024
UniCoder: Scaling Code Large Language Model via Universal Code
ACL 2024
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data
EMNLP 2024
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge
NAACL 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
EMNLP 2024
Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence
NAACL 2024
Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
EMNLP 2024
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
ICML 2024
Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm
ACL 2024
Unveiling the Invisible: Captioning Videos with Metaphors
EMNLP 2024
UoG Siephers at “Discharge Me!”: Exploring Ways to Generate Synthetic Patient Notes From Multi-Part Electronic Health Records
ACL 2024
URG: A Unified Ranking and Generation Method for Ensembling Language Models
ACL 2024
Using Large Language Models to Assess Young Students’ Writing Revisions
NAACL 2024
Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
NAACL 2024
Using Structured Health Information for Controlled Generation of Clinical Cases in French
NAACL 2024