Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBill Y. Lin
Bill Yuchen Lin
Person information
- affiliation: University of Southern California, USA
- affiliation: Shanghai Jiao Tong University, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[i44]Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran:
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. CoRR abs/2402.08983 (2024)- [i43]Yutaro Yamada, Khyathi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi:
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. CoRR abs/2402.09052 (2024) - [i42]Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue:
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. CoRR abs/2402.14658 (2024) - [i41]Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu:
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. CoRR abs/2402.15610 (2024) - [i40]Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin:
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents. CoRR abs/2403.02502 (2024) - [i39]Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi:
RewardBench: Evaluating Reward Models for Language Modeling. CoRR abs/2403.13787 (2024) - 2023
- [c44]Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. AAAI 2023: 13192-13200 - [c43]Dongfu Jiang
, Xiang Ren, Bill Yuchen Lin:
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. ACL (1) 2023: 14165-14178 - [c42]Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu:
Complex Reasoning in Natural Languag. ACL (tutorial) 2023: 11-20 - [c41]Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren:
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. EACL 2023: 3003-3017 - [c40]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) 2023: 1127-1149 - [c39]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2023: 6863-6883 - [c38]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS 2023 - [c37]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. NeurIPS 2023 - [c36]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. WSDM 2023: 1228-1231 - [i38]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR abs/2305.15065 (2023) - [i37]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. CoRR abs/2305.17390 (2023) - [i36]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. CoRR abs/2305.18654 (2023) - [i35]Dongfu Jiang, Xiang Ren, Bill Yuchen Lin:
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. CoRR abs/2306.02561 (2023) - [i34]Chengsong Huang, Qian Liu, Bill Yuchen Lin, Tianyu Pang, Chao Du, Min Lin:
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition. CoRR abs/2307.13269 (2023) - [i33]Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo:
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. CoRR abs/2309.17277 (2023) - [i32]Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen:
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. CoRR abs/2310.00752 (2023) - [i31]Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu:
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. CoRR abs/2310.11564 (2023) - [i30]Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin:
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR abs/2311.05657 (2023) - [i29]Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi:
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. CoRR abs/2312.01552 (2023) - [i28]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR abs/2312.05979 (2023) - 2022
- [c35]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) 2022: 12-20 - [c34]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) 2022: 3128-3139 - [c33]Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren:
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. EMNLP 2022: 10450-10468 - [c32]Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) 2022: 157-175 - [c31]Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren:
On the Robustness of Reading Comprehension Models to Entity Renaming. NAACL-HLT 2022: 508-520 - [c30]Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren:
Unsupervised Cross-Task Generalization via Retrieval Augmentation. NeurIPS 2022 - [i27]Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren:
Unsupervised Cross-Task Generalization via Retrieval Augmentation. CoRR abs/2204.07937 (2022) - [i26]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR abs/2205.02014 (2022) - [i25]Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. CoRR abs/2209.00465 (2022) - [i24]Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren:
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. CoRR abs/2211.09267 (2022) - [i23]Dongfu Jiang, Bill Yuchen Lin, Xiang Ren:
PairReranker: Pairwise Reranking for Natural Language Generation. CoRR abs/2212.10555 (2022) - 2021
- [c29]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. AAAI 2021: 14621-14629 - [c28]Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren:
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. ACL/IJCNLP (1) 2021: 1274-1287 - [c27]Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren:
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge. ACL/IJCNLP (Findings) 2021: 1504-1515 - [c26]Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren:
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) 2021: 714-729 - [c25]Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren:
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. EMNLP (1) 2021: 3728-3737 - [c24]Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren:
Probing Commonsense Explanation in Dialogue Response Generation. EMNLP (Findings) 2021: 4132-4146 - [c23]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. EMNLP (1) 2021: 7163-7189 - [c22]Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren:
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. EMNLP (1) 2021: 7560-7579 - [c21]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT 2021: 4611-4625 - [i22]Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren:
RiddleSense: Answering Riddle Questions as Commonsense Reasoning. CoRR abs/2101.00376 (2021) - [i21]Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: A Research Platform for Federated Learning in Natural Language Processing. CoRR abs/2104.08815 (2021) - [i20]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. CoRR abs/2104.08835 (2021) - [i19]Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren:
Probing Causal Common Sense in Dialogue Response Generation. CoRR abs/2104.09574 (2021) - [i18]Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren:
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. CoRR abs/2106.06937 (2021) - [i17]Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren:
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. CoRR abs/2109.04726 (2021) - [i16]Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren:
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. CoRR abs/2109.05620 (2021) - [i15]Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren:
On the Robustness of Reading Comprehension Models to Entity Renaming. CoRR abs/2110.08555 (2021) - 2020
- [c20]Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren:
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. ACL (demo) 2020: 372-379 - [c19]Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren:
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. ACL 2020: 2134-2146 - [c18]Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren:
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. ACL 2020: 8503-8511 - [c17]Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. AKBC 2020 - [c16]Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. EMNLP (1) 2020: 1295-1309 - [c15]Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. EMNLP (Findings) 2020: 1823-1840 - [c14]Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren:
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models. EMNLP (1) 2020: 6862-6868 - [c13]Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata:
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. KDD 2020: 1092-1102 - [c12]Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren:
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. WWW 2020: 2166-2176 - [i14]Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren:
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. CoRR abs/2004.07493 (2020) - [i13]Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren:
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. CoRR abs/2004.07499 (2020) - [i12]Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. CoRR abs/2005.00646 (2020) - [i11]Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren:
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models. CoRR abs/2005.00683 (2020) - [i10]Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara:
Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. CoRR abs/2005.00782 (2020) - [i9]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. CoRR abs/2005.02178 (2020) - [i8]Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata:
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. CoRR abs/2010.10755 (2020) - [i7]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. CoRR abs/2010.14439 (2020) - [i6]Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren:
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. CoRR abs/2011.07956 (2020)
2010 – 2019
- 2019
- [c11]Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren:
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. ACL (3) 2019: 58-63 - [c10]Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren:
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. EMNLP/IJCNLP (1) 2019: 2829-2839 - [i5]Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren:
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. CoRR abs/1909.02151 (2019) - [i4]Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren:
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. CoRR abs/1910.04289 (2019) - [i3]Bill Yuchen Lin, Ming Shen, Yu Xing, Pei Zhou, Xiang Ren:
CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning. CoRR abs/1911.03705 (2019) - 2018
- [c9]Bill Y. Lin, Frank F. Xu, Eve Q. Liao, Kenny Q. Zhu:
Transfer Learning for Traffic Speed Prediction: A Preliminary Study. AAAI Workshops 2018: 174-177 - [c8]Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang:
Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. AAAI 2018: 8089-8090 - [c7]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Automatic Extraction of Commonsense LocatedNear Knowledge. ACL (2) 2018: 96-101 - [c6]Bill Y. Lin, Frank F. Xu, Kenny Q. Zhu, Seung-won Hwang:
Mining Cross-Cultural Differences and Similarities in Social Media. ACL (1) 2018: 709-719 - [c5]Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. EMNLP 2018: 2012-2022 - [c4]Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Q. Zhu:
ExtRA: Extracting Prominent Review Aspects from Customer Feedback. EMNLP 2018: 3477-3486 - [i2]Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. CoRR abs/1810.06368 (2018) - 2017
- [c3]Bill Y. Lin, Frank F. Xu, Zhiyi Luo, Kenny Q. Zhu:
Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media. NUT@EMNLP 2017: 160-165 - [c2]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. AKBC@NIPS 2017 - [i1]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. CoRR abs/1711.04204 (2017) - 2016
- [c1]Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang, Kenny Q. Zhu:
Cross-region traffic prediction for China on OpenStreetMap. IWCTS@SIGSPATIAL 2016: 37-42
Coauthor Index
[c44] [c43] [c41] [c39] [c37] [c36] [i38] [i37] [i36] [i35] [c35] [c34] [c33] [c32] [c31] [c30] [i27] [i26] [i25] [i24] [i23] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c12] [i14] [i13] [i12] [i11] [i10] [i9] [i7] [i6] [c11] [c10] [i5] [i4] [i3]
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-14 01:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
