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Methodology
← Generation
Natural Language Processing
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Generation
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Text Generation
4534 directly classified papers
Papers per year
2011: 1
2015: 2
2016: 20
2017: 75
2018: 165
2019: 353
2020: 383
2021: 510
2022: 612
2023: 620
2024: 804
2025: 868
2026: 121
Papers
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
ACL 2024
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code
ACL 2024
BASS: Batched Attention-optimized Speculative Sampling
ACL 2024
LLMCrit: Teaching Large Language Models to Use Criteria
ACL 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries
ACL 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective
ACL 2024
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
ACL 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
ACL 2024
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
ACL 2024
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
ACL 2024
Learning to Decode Collaboratively with Multiple Language Models
ACL 2024
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation
ACL 2024
Split and Rephrase with Large Language Models
ACL 2024
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages
ACL 2024
TasTe: Teaching Large Language Models to Translate through Self-Reflection
ACL 2024
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
AAAI 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
ACL 2024
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation
ACL 2024
Learnability Matters: Active Learning for Video Captioning
NIPS 2024
Exploring the Potential of Large Language Models in Computational Argumentation
ACL 2024
Boosting the Potential of Large Language Models with an Intelligent Information Assistant
NIPS 2024
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation
COLING 2024
Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model
COLING 2024
Towards Cost-effective Multi-style Conversations: A Pilot Study in Task-oriented Dialogue Generation
COLING 2024
EDM3: Event Detection as Multi-task Text Generation
NAACL 2024
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