Keqing He

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upvoted a paper 3 days ago

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Paper • 2503.18892 • Published 5 days ago • 27

authored a paper 4 days ago

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Paper • 2503.18892 • Published 5 days ago • 27

authored 9 papers 7 months ago

Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task

Paper • 2310.06504 • Published Oct 10, 2023 • 1

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT

Paper • 2310.10176 • Published Oct 16, 2023 • 1

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue

Paper • 2306.10315 • Published Jun 17, 2023 • 1

Knowledge Editing on Black-box Large Language Models

Paper • 2402.08631 • Published Feb 13, 2024 • 3

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning

Paper • 2402.09136 • Published Feb 14, 2024 • 1

PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability

Paper • 2402.11534 • Published Feb 18, 2024 • 1

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems

Paper • 2210.08873 • Published Oct 17, 2022 • 1

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data

Paper • 2409.03810 • Published Sep 5, 2024 • 35

upvoted a paper 7 months ago

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data

Paper • 2409.03810 • Published Sep 5, 2024 • 35