Generation
11,987 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
2
5
7
5
3
3
2
9
9
7
11
94
253
465
735
1,013
1,088
1,540
1,638
2,092
2,500
503
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Findings of the SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages
EACL 2024
Findings of the WMT 2024 Shared Task on Chat Translation
EMNLP 2024
Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks
EACL 2024
FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
MLHC 2024
FineSurE: Fine-grained Summarization Evaluation using LLMs
ACL 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
EMNLP 2024
Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs
ACL 2024
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
AAAI 2024
Fine-Tuning Open Access LLMs for High-Precision NLU in Goal-Driven Dialog Systems
COLING 2024
Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models
ACL 2024
FIRE: Food Image to REcipe Generation
WACV 2024
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
EMNLP 2024
FlexCap: Describe Anything in Images in Controllable Detail
NeurIPS 2024
Flexible Lexicalization in Rule-based Text Realization
COLING 2024
Focused Large Language Models are Stable Many-Shot Learners
EMNLP 2024
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models
ACL 2024
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation
ACL 2024
Frequency Explains the Inverse Correlation of Large Language Models’ Size, Training Data Amount, and Surprisal’s Fit to Reading Times
EACL 2024
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
EMNLP 2024
From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning
ACL 2024
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications
ACL 2024
From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models
ACL 2024
From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization
COLING 2024
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues
EMNLP 2024
From RAG to Riches: Retrieval Interlaced with Sequence Generation
EMNLP 2024