Co-occurring keywords · papers mentioning both
Papers
Generative Personality Simulation via Theory-Informed Structured Interview
EACL 2026
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
EACL 2026
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
ACL 2025
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity
AAAI 2025
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts
NAACL 2025
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation
IJCNLP 2025
ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model
AAAI 2025
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
ICLR 2025
Evaluating Language Models as Synthetic Data Generators
ACL 2025
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
IJCAI 2025
Generating Diverse Training Samples for Relation Extraction with Large Language Models
ACL 2025
Hindsight Merging: Diverse Data Generation with Language Models
UAI 2025
Incomplete Multi-view Clustering via Diffusion Contrastive Generation
AAAI 2025
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
ICLR 2025
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
ACL 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
RSS 2025
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection
EMNLP 2025
Scaling Low-Resource MT via Synthetic Data Generation with LLMs
EMNLP 2025
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection
EMNLP 2025
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
AAAI 2025
Towards Realistic Data Generation for Real-World Super-Resolution
ICLR 2025
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
ICLR 2024
Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios
EMNLP 2024
Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation
COLING 2024