Wang, Yizhong
- DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
2019/03/01 by Dheeru Dua, Dua, Dheeru, Yizhong Wang +9 · 2 voices · 125 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL
- Self-Instruct: Aligning Language Models with Self-Generated Instructions
2022/12/20 by Yizhong Wang, Yeganeh Kordi, Wang, Yizhong +11 · 3 voices · 310 citations
Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Topic Modeling #cs.AI #cs.CL
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training
2024/11/22 by Nathan Lambert, Jacob Morrison, Lambert, Nathan +44 · 9 voices · 262 citations
Computer Science · #Natural Language Processing Techniques
- One Embedder, Any Task: Instruction-Finetuned Text Embeddings
2022/12/19 by Hongjin Su, Su, Hongjin, Weijia Shi +18 · 3 voices · 45 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL
- CareerX: A Retrieval-Augmented Generation Framework for Personalized AI-Driven Career Guidance
2023/10/17 by Zeqiu Wu, Asai, Akari, Wu, Zeqiu +4 · 313 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
2022/04/16 by Yizhong Wang, Swaroop Mishra, Wang, Yizhong +77 · 73 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
- TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
2023/03/21 by Yushi Hu, Hu, Yushi, Benlin Liu +11 · 81 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
- OLMo: Accelerating the Science of Language Models
2024/02/01 by Dirk Groeneveld, Iz Beltagy, Groeneveld, Dirk +83 · 94 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- Retrieval Head Mechanistically Explains Long-Context Factuality
2024/04/24 by Wenhao Wu, Wu, Wenhao, Yizhong Wang +7 · 1 voice · 35 citations
Computer Science · Neuroscience · #Memory Processes and Influences #Topic Modeling #cs.CL
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
2020/09/22 by Swayamdipta, Swabha, Schwartz, Roy, Lourie, Nicholas +4 · 34 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
2023/10/17 by Joel Jang, Jang, Joel, Seungone Kim +15 · 44 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- MultiModalQA: Complex Question Answering over Text, Tables and Images
2021/04/13 by Alon Talmor, Talmor, Alon, Ori Yoran +15 · 27 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
2023/06/07 by Yizhong Wang, Wang, Yizhong, Hamish Ivison +19 · 34 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning and Data Classification
- Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
2023/11/17 by Hamish Ivison, Ivison, Hamish, Yizhong Wang +20 · 2 voices · 23 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL
- DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
2017/11/14 by Wei He, Kai Liu, He, Wei +22 · 16 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Fine-grained Hallucination Detection and Editing for Language Models
2024/01/12 by Abhika Mishra, Mishra, Abhika, Akari Asai +11 · 25 citations
Computer Science · Psychology · #Topic Modeling #Mental Health via Writing #Machine Learning in Healthcare
- Do NLP Models Know Numbers? Probing Numeracy in Embeddings
2019/09/17 by Wallace, Eric, Wang, Yizhong, Li, Sujian +2 · 10 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Tuning Language Models by Proxy
2024/01/16 by Alisa Liu, Xiaochuang Han, Liu, Alisa +9 · 1 voice · 12 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
- Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
2024/06/13 by Hamish Ivison, Ivison, Hamish, Yizhong Wang +15 · 19 citations
Computer Science · #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Automated Lay Language Summarization of Biomedical Scientific Reviews
2020/12/23 by Yue Guo, Guo, Yue, Wei Qiu +5 · 6 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
- Probing Across Time: What Does RoBERTa Know and When?
2021/04/16 by Liu, Leo Z., Wang, Yizhong, Kasai, Jungo +2 · 6 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Set the Clock: Temporal Alignment of Pretrained Language Models
2024/02/26 by Bowen Zhao, Zander Brumbaugh, Zhao, Bowen +7 · 1 voice · 6 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling
- Evaluating Language Models as Synthetic Data Generators
2024/12/04 by Seungone Kim, Kim, Seungone, Juyoung Suk +17 · 12 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation
2022/12/20 by Hamish Ivison, Akshita Bhagia, Ivison, Hamish +7 · 4 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
- Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
2024/10/24 by Lester James V. Miranda, Miranda, Lester James V., Yizhong Wang +15 · 7 citations
Computer Science · #Computation and Language (cs.CL) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Semantic Web and Ontologies #Speech and dialogue systems
- Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
2024/10/10 by Wang, Shuhe, Wang, Guoyin, Wang, Yizhong +3 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Tur[k]ingBench: A Challenge Benchmark for Web Agents
2024/03/18 by Xu, Kevin, Kordi, Yeganeh, Nayak, Tanay +7 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
- LiveQA: A Question Answering Dataset over Sports Live
2020/10/01 by Qianying Liu, Liu, Qianying, Sicong Jiang +5 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Long Context Alignment with Short Instructions and Synthesized Positions
2024/05/07 by Wu, Wenhao, Wang, Yizhong, Fu, Yao +3 · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Machine Reading Comprehension: a Literature Review
2019/06/30 by Xin Zhang, Zhang, Xin, Yang An +5 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Toward Fast and Accurate Neural Discourse Segmentation
2018/08/28 by Wang, Yizhong, Li, Sujian, Yang, Jingfeng · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
2025/03/11 by Zeng, Zhiyuan, Wang, Yizhong, Hajishirzi, Hannaneh +1 · 5 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- HREF: Human Response-Guided Evaluation of Instruction Following in Language Models
2024/12/20 by Xinxi Lyu, Lyu, Xinxi, Yizhong Wang +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Natural Language Processing Techniques #Speech and dialogue systems
- BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
2023/10/02 by Qingqing Cao, Sewon Min, Cao, Qingqing +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling