{"total":146,"rows":[{"id":"2212.09689","title":"Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor","created":"2022-12-19","cited_by_count":397,"area":null},{"id":"2306.15895","title":"Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias","created":"2023-06-28","cited_by_count":232,"area":null},{"id":"2212.10375","title":"Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering","created":"2022-12-20","cited_by_count":161,"area":null},{"id":"2303.04132","title":"Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction","created":"2023-03-07","cited_by_count":89,"area":null},{"id":"2304.14293","title":"Controlled Text Generation with Natural Language Instructions","created":"2023-04-27","cited_by_count":87,"area":null},{"id":"2310.19596","title":"LLMaAA: Making Large Language Models as Active Annotators","created":"2023-10-30","cited_by_count":79,"area":null},{"id":"2210.12329","title":"ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback","created":"2022-10-22","cited_by_count":67,"area":null},{"id":"2210.14140","title":"Contrastive Search Is What You Need For Neural Text Generation","created":"2022-10-25","cited_by_count":59,"area":null},{"id":"2205.10183","title":"Prototypical Calibration for Few-shot Learning of Language Models","created":"2022-05-20","cited_by_count":58,"area":null},{"id":"2205.02318","title":"Language Models in the Loop: Incorporating Prompting into Weak Supervision","created":"2022-05-04","cited_by_count":52,"area":null},{"id":"2308.12060","title":"FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering","created":"2023-08-23","cited_by_count":51,"area":null},{"id":"2205.12679","title":"Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning","created":"2022-05-25","cited_by_count":50,"area":null},{"id":"2404.10859","title":"Forcing Diffuse Distributions out of Language Models","created":"2024-04-16","cited_by_count":48,"area":null},{"id":"2203.08568","title":"In-Context Learning for Few-Shot Dialogue State Tracking","created":"2022-03-16","cited_by_count":47,"area":null},{"id":"2409.06857","title":"What is the Role of Small Models in the LLM Era: A Survey","created":"2024-09-10","cited_by_count":41,"area":null},{"id":"2212.08635","title":"Self-Prompting Large Language Models for Zero-Shot Open-Domain QA","created":"2022-12-16","cited_by_count":39,"area":null},{"id":"2211.03044","title":"Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning","created":"2022-11-06","cited_by_count":36,"area":null},{"id":"2410.15413","title":"A Comprehensive Evaluation of Cognitive Biases in LLMs","created":"2024-10-20","cited_by_count":34,"area":null},{"id":"2310.16570","title":"Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models","created":"2023-10-25","cited_by_count":32,"area":null},{"id":"2305.16635","title":"Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing","created":"2023-05-26","cited_by_count":31,"area":null},{"id":"2310.13671","title":"Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models","created":"2023-10-20","cited_by_count":30,"area":null},{"id":"2305.14386","title":"Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation","created":"2023-05-22","cited_by_count":29,"area":null},{"id":"2310.03269","title":"InstructProtein: Aligning Human and Protein Language via Knowledge Instruction","created":"2023-10-05","cited_by_count":28,"area":null},{"id":"2310.20111","title":"Making Large Language Models Better Data Creators","created":"2023-10-31","cited_by_count":28,"area":null},{"id":"2306.06688","title":"Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability","created":"2023-06-11","cited_by_count":27,"area":null},{"id":"2406.08316","title":"Is Programming by Example solved by LLMs?","created":"2024-06-12","cited_by_count":27,"area":null},{"id":"2305.10703","title":"ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval","created":"2023-05-18","cited_by_count":26,"area":null},{"id":"2403.00165","title":"TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision","created":"2024-02-29","cited_by_count":25,"area":null},{"id":"2305.15077","title":"Contrastive Learning of Sentence Embeddings from Scratch","created":"2023-05-24","cited_by_count":24,"area":null},{"id":"2403.07678","title":"MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions","created":"2024-03-12","cited_by_count":23,"area":null},{"id":"2407.03993","title":"A Survey on Natural Language Counterfactual Generation","created":"2024-07-04","cited_by_count":21,"area":null},{"id":"2311.00287","title":"Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models","created":"2023-11-01","cited_by_count":20,"area":null},{"id":"2310.17876","title":"TarGEN: Targeted Data Generation with Large Language Models","created":"2023-10-27","cited_by_count":17,"area":null},{"id":"2404.10229","title":"Generative Text Steganography with Large Language Model","created":"2024-04-16","cited_by_count":17,"area":null},{"id":"2404.17642","title":"Empowering Large Language Models for Textual Data Augmentation","created":"2024-04-26","cited_by_count":17,"area":null},{"id":"2404.09682","title":"Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation","created":"2024-04-15","cited_by_count":16,"area":null},{"id":"2304.02846","title":"Synthetic Sample Selection for Generalized Zero-Shot Learning","created":"2023-04-06","cited_by_count":14,"area":null},{"id":"2311.07167","title":"STEER: Unified Style Transfer with Expert Reinforcement","created":"2023-11-13","cited_by_count":14,"area":null},{"id":"2311.15614","title":"FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models","created":"2023-11-27","cited_by_count":14,"area":null},{"id":"2210.14803","title":"Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models","created":"2022-10-26","cited_by_count":13,"area":null},{"id":"2405.10040","title":"SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation","created":"2024-05-16","cited_by_count":13,"area":null},{"id":"2301.02427","title":"Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction","created":"2023-01-06","cited_by_count":12,"area":null},{"id":"2305.13917","title":"Generating Data for Symbolic Language with Large Language Models","created":"2023-05-23","cited_by_count":12,"area":null},{"id":"2401.17435","title":"Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games","created":"2024-01-30","cited_by_count":12,"area":null},{"id":"2402.03242","title":"JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching","created":"2024-02-05","cited_by_count":12,"area":null},{"id":"2306.08966","title":"Training Multimedia Event Extraction With Generated Images and Captions","created":"2023-06-15","cited_by_count":11,"area":null},{"id":"2402.05512","title":"GPTs Are Multilingual Annotators for Sequence Generation Tasks","created":"2024-02-08","cited_by_count":11,"area":null},{"id":"2407.11004","title":"The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators","created":"2024-06-25","cited_by_count":10,"area":null},{"id":"2408.10902","title":"Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs","created":"2024-08-20","cited_by_count":10,"area":null},{"id":"2410.01154","title":"Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting","created":"2024-10-02","cited_by_count":10,"area":null},{"id":"2502.17607","title":"Synthetic Text Generation for Training Large Language Models via Gradient Matching","created":"2025-02-24","cited_by_count":10,"area":null},{"id":"2404.00415","title":"CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP","created":"2024-03-30","cited_by_count":9,"area":null},{"id":"2505.22830","title":"What Has Been Lost with Synthetic Evaluation?","created":"2025-05-28","cited_by_count":9,"area":null},{"id":"2305.18623","title":"Alfred: A System for Prompted Weak Supervision","created":"2023-05-29","cited_by_count":8,"area":null},{"id":"2406.04286","title":"ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions","created":"2024-06-06","cited_by_count":8,"area":null},{"id":"2309.09582","title":"Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs","created":"2023-09-18","cited_by_count":7,"area":null},{"id":"2402.01453","title":"The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs","created":"2024-02-02","cited_by_count":7,"area":null},{"id":"2403.00462","title":"LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues","created":"2024-03-01","cited_by_count":7,"area":null},{"id":"2403.02586","title":"Improving Event Definition Following For Zero-Shot Event Detection","created":"2024-03-05","cited_by_count":7,"area":null},{"id":"2410.08393","title":"The Effects of Hallucinations in Synthetic Training Data for Relation Extraction","created":"2024-10-10","cited_by_count":7,"area":null},{"id":"2303.07304","title":"Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research","created":"2023-03-10","cited_by_count":6,"area":null},{"id":"2305.11442","title":"Zero-Shot Text Classification via Self-Supervised Tuning","created":"2023-05-19","cited_by_count":6,"area":null},{"id":"2305.15090","title":"STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2404.10877","title":"Incubating Text Classifiers Following User Instruction with Nothing but LLM","created":"2024-04-16","cited_by_count":6,"area":null},{"id":"2405.14646","title":"Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2408.04660","title":"XMainframe: A Large Language Model for Mainframe Modernization","created":"2024-08-05","cited_by_count":6,"area":null},{"id":"2408.17437","title":"SYNTHEVAL: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists","created":"2024-08-30","cited_by_count":6,"area":null},{"id":"2409.16145","title":"Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment","created":"2024-09-22","cited_by_count":6,"area":null},{"id":"2410.01953","title":"Generate then Refine: Data Augmentation for Zero-shot Intent Detection","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2410.13098","title":"A Little Human Data Goes A Long Way","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2306.05278","title":"Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training","created":"2023-06-08","cited_by_count":5,"area":null},{"id":"2309.10707","title":"Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models","created":"2023-09-18","cited_by_count":5,"area":null},{"id":"2310.06111","title":"BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions","created":"2023-10-09","cited_by_count":5,"area":null},{"id":"2311.09552","title":"Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition","created":"2023-11-16","cited_by_count":5,"area":null},{"id":"2401.17703","title":"WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts","created":"2024-01-31","cited_by_count":5,"area":null},{"id":"2411.15175","title":"ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?","created":"2024-11-18","cited_by_count":5,"area":null},{"id":"2502.17328","title":"Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization","created":"2025-02-24","cited_by_count":5,"area":null},{"id":"2503.04736","title":"Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance","created":"2025-02-03","cited_by_count":5,"area":null},{"id":"2406.12527","title":"FuseGen: PLM Fusion for Data-generation based Zero-shot Learning","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2409.12425","title":"Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels","created":"2024-09-19","cited_by_count":4,"area":null},{"id":"2502.06394","title":"SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators","created":"2025-02-10","cited_by_count":4,"area":null},{"id":"2503.00179","title":"Zero-Shot and Efficient Clarification Need Prediction in Conversational Search","created":"2025-02-28","cited_by_count":4,"area":null},{"id":"2504.17421","title":"Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks","created":"2025-04-24","cited_by_count":4,"area":null},{"id":"2308.06507","title":"AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models","created":"2023-08-12","cited_by_count":3,"area":null},{"id":"2402.15132","title":"Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples","created":"2024-02-23","cited_by_count":3,"area":null},{"id":"2405.01022","title":"UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation","created":"2024-05-02","cited_by_count":3,"area":null},{"id":"2405.03565","title":"Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing","created":"2024-05-06","cited_by_count":3,"area":null},{"id":"2407.05463","title":"Training Task Experts through Retrieval Based Distillation","created":"2024-07-07","cited_by_count":3,"area":null},{"id":"2411.08553","title":"CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs","created":"2024-11-13","cited_by_count":3,"area":null},{"id":"2412.10121","title":"Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data","created":"2024-12-13","cited_by_count":3,"area":null},{"id":"2502.17394","title":"SNaRe: Domain-aware Data Generation for Low-Resource Event Detection","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2512.13884","title":"FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition","created":"2025-12-15","cited_by_count":3,"area":null},{"id":"2310.18076","title":"Knowledge Corpus Error in Question Answering","created":"2023-10-27","cited_by_count":2,"area":null},{"id":"2312.03025","title":"Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction","created":"2023-12-05","cited_by_count":2,"area":null},{"id":"2404.09606","title":"A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions","created":"2024-04-15","cited_by_count":2,"area":null},{"id":"2406.11115","title":"Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2408.08217","title":"RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2412.06136","title":"AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning","created":"2024-12-09","cited_by_count":2,"area":null},{"id":"2502.12965","title":"Text Classification Under Class Distribution Shift: A Survey","created":"2025-02-18","cited_by_count":2,"area":null},{"id":"2509.25729","title":"Controlled Generation for Private Synthetic Text","created":"2025-09-30","cited_by_count":2,"area":null}],"next_cursor":"100"}