update pub

_bibliography/papers.bib

@@ -161,7 +161,8 @@ @article{Li2023CanLM
              Processing (EMNLP)},
   year    = {2023},
   arxiv   = {2305.14057},
-  code    = {https://github.com/TobiasLee/VEC}
+  code    = {https://github.com/TobiasLee/VEC},
+  preview = {Li2023CanLM.png}
 }
 
 @article{Pi2023DetGPTDW,
@@ -170,7 +171,9 @@ @article{Pi2023DetGPTDW
   journal = {In Proceedings of the Conference on Empirical Methods in Natural Language
              Processing (EMNLP)},
   year    = {2023},
-  arxiv   = {2305.14167}
+  arxiv   = {2305.14167},
+  code    = {https://detgpt.github.io/},
+  preview = {Pi2023DetGPTDW.png}
 }
 
 @article{Ye2023GeneratingDF,
@@ -180,7 +183,8 @@ @article{Ye2023GeneratingDF
              Processing (EMNLP)},
   year    = {2023},
   arxiv   = {2305.13917},
-  code    = {https://github.com/HKUNLP/SymGen}
+  code    = {https://github.com/HKUNLP/SymGen},
+  preview = {Ye2023GeneratingDF.png}
 }
 
 @article{Gong2023DiffuSeqv2BD,
@@ -190,7 +194,8 @@ @article{Gong2023DiffuSeqv2BD
              Natural Language Processing (EMNLP Findings)},
   year    = {2023},
   arxiv   = {2310.05793},
-  code    = {https://github.com/Shark-NLP/DiffuSeq}
+  code    = {https://github.com/Shark-NLP/DiffuSeq},
+  preview = {Gong2023DiffuSeqv2BD.png}
 }
 
 @article{Zhao2023GIMLETAU,
@@ -199,15 +204,18 @@ @article{Zhao2023GIMLETAU
   journal = {In Advances in Neural Information Processing Systems (NeurIPS)},
   year    = {2023},
   arxiv   = {2306.13089},
-  code    = {https://github.com/zhao-ht/GIMLET}
+  code    = {https://github.com/zhao-ht/GIMLET},
+  preview = {Zhao2023GIMLETAU.png}
 }
 
 @article{Dong2023StatisticalKA,
   title   = {Statistical Knowledge Assessment for Large Language Models},
   author  = {Qingxiu Dong and Jingjing Xu and Lingpeng Kong and Zhifang Sui and Lei Li},
   journal = {In Advances in Neural Information Processing Systems (NeurIPS)},
   year    = {2023},
-  arxiv   = {2305.10519}
+  arxiv   = {2305.10519},
+  code    = {https://github.com/dqxiu/KAssess},
+  preview = {Dong2023StatisticalKA.png}
 }
 
 @article{Wu2022SelfAdaptiveIL,
@@ -216,33 +224,46 @@ @article{Wu2022SelfAdaptiveIL
   journal = {In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)},
   year    = {2023},
   arxiv   = {2212.10375},
-  code    = {https://github.com/Shark-NLP/self-adaptive-ICL}
+  code    = {https://github.com/Shark-NLP/self-adaptive-ICL},
+  preview = {Wu2022SelfAdaptiveIL.png}
 }
 
 @article{Li2022ExplanationRV,
   title   = {Explanation Regeneration via Information Bottleneck},
   author  = {Qintong Li and Zhiyong Wu and Lingpeng Kong and Wei Bi},
   journal = {In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL Findings)},
   year    = {2023},
-  arxiv   = {2212.09603}
+  arxiv   = {2212.09603},
+  code    = {https://github.com/qtli/EIB},
+  preview = {Li2022ExplanationRV.png}
 }
 
 @article{Jiang2023ACS,
   title   = {A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment},
   author  = {Jiyue Jiang and Sheng Wang and Qintong Li and Lingpeng Kong and Chuan Wu},
   journal = {In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)},
   year    = {2023},
-  arxiv   = {2305.08200}
+  arxiv   = {2305.08200},
+  preview = {Jiang2023ACS.png}
 }
 
+@article{Zhao2023SORTIEDS,
+  title   = {SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation},
+  author  = {Xueliang Zhao and Tingchen Fu and Lemao Liu and Lingpeng Kong and Shuming Shi and Rui Yan},
+  journal = {In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL Findings)},
+  year    = {2023},
+  pdf     = {https://aclanthology.org/2023.findings-acl.715.pdf},
+  preview = {Zhao2023SORTIEDS.png}
+}
 
 @article{Ye2023CompositionalEF,
   title   = {Compositional Exemplars for In-context Learning},
   author  = {Jiacheng Ye and Zhiyong Wu and Jiangtao Feng and Tao Yu and Lingpeng Kong},
   journal = {In Proceedings of the International Conference on Machine Learning (ICML)},
   year    = {2023},
   arxiv   = {2302.05698},
-  code    = {https://github.com/HKUNLP/icl-ceil}
+  code    = {https://github.com/HKUNLP/icl-ceil},
+  preview = {Ye2023CompositionalEF.png}
 }
 
 @article{Zhang2022CABCA,
@@ -251,7 +272,8 @@ @article{Zhang2022CABCA
   journal = {In Proceedings of the International Conference on Machine Learning (ICML)},
   year    = {2023},
   arxiv   = {2210.07661},
-  code    = {https://github.com/Shark-NLP/CAB}
+  code    = {https://github.com/Shark-NLP/CAB},
+  preview = {Zhang2022CABCA.png}
 }
 
 @article{Zheng2023EfficientAV,
@@ -260,18 +282,100 @@ @article{Zheng2023EfficientAV
   journal = {In International Conference on Learning Representations (ICLR)},
   year    = {2023},
   arxiv   = {2302.04542},
-  code    = {https://github.com/HKUNLP/efficient-attention}
+  code    = {https://github.com/HKUNLP/efficient-attention},
+  preview = {Zheng2023EfficientAV.png}
+}
+
+@article{gao2023selfguided,
+  title    = {Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning},
+  author   = {Jiahui Gao and Renjie Pi and Lin Yong and Hang Xu and Jiacheng Ye and Zhiyong Wu and Weizhong Zhang and Xiaodan Liang and Zhenguo Li and Lingpeng Kong},
+  journal  = {International Conference on Learning Representations (ICLR)},
+  location = {Kigali, Rwanda},
+  year     = {2023},
+  arxiv    = {2205.12679},
+  code     = {https://github.com/SumilerGAO/SunGen},
+  preview  = {gao2023selfguided.png}
+}
+
+@article{Qin2023ToeplitzNN,
+  title   = {Toeplitz Neural Network for Sequence Modeling},
+  author  = {Zhen Qin and Xiaodong Han and Weixuan Sun and Bowen He and Dong Li and Dongxu Li and Yuchao Dai and Lingpeng Kong and Yiran Zhong},
+  journal = {International Conference on Learning Representations (ICLR)},
+  year    = {2023},
+  arxiv   = {2305.04749},
+  code    = {https://github.com/OpenNLPLab/Tnn},
+  preview = {Qin2023ToeplitzNN.png}
 }
 
 @article{Gong2022DiffuSeqST,
   title   = {DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models},
   author  = {Shansan Gong and Mukai Li and Jiangtao Feng and Zhiyong Wu and Lingpeng Kong},
-  journal = {In International Conference on Learning Representations (ICLR)},
+  journal = {International Conference on Learning Representations (ICLR)},
   year    = {2023},
   arxiv   = {2210.08933},
-  code    = {https://github.com/Shark-NLP/DiffuSeq}
+  code    = {https://github.com/Shark-NLP/DiffuSeq},
+  preview = {Gong2022DiffuSeqST.png}
+}
+
+@article{cheng2023binding,
+  title    = {Binding Language Models in Symbolic Languages},
+  author   = {Cheng, Zhoujun and Xie, Tianbao and Shi, Peng and Li, Chengzu and Nadkarni, Rahul and Hu, Yushi and Xiong, Caiming and Radev, Dragomir and Ostendorf, Mari and Zettlemoyer, Luke and Smith, Noah A and Yu, Tao},
+  journal  = {International Conference on Learning Representations (ICLR)},
+  location = {Berlin, Germany},
+  year     = {2023},
+  arxiv    = {2210.02875},
+  code     = {https://lm-code-binder.github.io/},
+  poster   = {https://lm-code-binder.github.io/},
+  selected = {y},
+  preview  = {Gong2022DiffuSeqST.png}
+}
+
+@article{su2023selective,
+  title   = {Selective Annotation Makes Language Models Better Few-Shot Learners},
+  author  = {Su, Hongjin and Kasai, Jungo and Wu, Chen Henry and Shi, Weijia and Wang, Tianlu and Xin, Jiayi and Zhang, Rui and Ostendorf, Mari and Zettlemoyer, Luke and Smith, Noah A. and Yu, Tao},
+  journal = {International Conference on Learning Representations (ICLR)},
+  year    = {2023},
+  arxiv   = {2209.01975},
+  code    = {https://github.com/HKUNLP/icl-selective-annotation},
+  preview = {su2023selective.png}
+}
+
+@article{chen2023unsupervised,
+  title    = {Unsupervised Explanation Generation via Correct Instantiations},
+  author   = {Sijie Chen and Zhiyong Wu and Jiangjie Chen and Zhixing Li and Yang Liu and Lingpeng Kong},
+  journal  = {In Proceedings of AAAI Conference on Artificial Intelligence (AAAI)},
+  location = {Washington, DC},
+  year     = {2023},
+  arxiv    = {2211.11160},
+  code     = {https://github.com/Shark-NLP/Neon},
+  preview  = {chen2023unsupervised.png}
+}
+
+@article{ma2023retrieved,
+  title   = {Retrieved Sequence Augmentation for Protein Representation Learning},
+  author  = {Chang Ma and Haiteng Zhao and Lin Zheng and Jiayi Xin and Qintong Li and Lijun Wu and Zhihong Deng and Yang Lu and Qi Liu and Lingpeng Kong},
+  journal = {arXiv preprint},
+  year    = {2023},
+  arxiv   = {2302.12563},
+  code    = {https://github.com/HKUNLP/RSA},
+  preview = {ma2023retrieved.png}
+}
+
+@article{zheng2023reparameterized,
+  title   = {A Reparameterized Discrete Diffusion Model for Text Generation},
+  author  = {Lin Zheng and Jianbo Yuan and Lei Yu and Lingpeng Kong},
+  journal = {arXiv preprint},
+  year    = {2023},
+  arxiv   = {2302.04542},
+  code    = {https://github.com/HKUNLP/reparam-discrete-diffusion},
+  preview = {zheng2023reparameterized.png}
 }
 
+
+%%%%%%%%%%%% 2022 %%%%%%%%%%%%
+
+
+
 @article{Ye2022ProGenPZ,
   title   = {ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback},
   author  = {Jiacheng Ye and Jiahui Gao and Jiangtao Feng and Zhiyong Wu and Tao Yu and Lingpeng Kong},
@@ -316,26 +420,6 @@ @article{liu2022augmenting
   code    = {https://github.com/leuchine/self_play_picard}
 }
 
-@article{cheng2023binding,
-  title    = {Binding Language Models in Symbolic Languages},
-  author   = {Cheng, Zhoujun and Xie, Tianbao and Shi, Peng and Li, Chengzu and Nadkarni, Rahul and Hu, Yushi and Xiong, Caiming and Radev, Dragomir and Ostendorf, Mari and Zettlemoyer, Luke and Smith, Noah A and Yu, Tao},
-  journal  = {International Conference on Learning Representations (ICLR)},
-  location = {Berlin, Germany},
-  year     = {2023},
-  arxiv    = {2210.02875},
-  code     = {https://lm-code-binder.github.io/},
-  poster   = {https://lm-code-binder.github.io/},
-  selected = {y}
-}
-
-@article{su2023selective,
-  title   = {Selective Annotation Makes Language Models Better Few-Shot Learners},
-  author  = {Su, Hongjin and Kasai, Jungo and Wu, Chen Henry and Shi, Weijia and Wang, Tianlu and Xin, Jiayi and Zhang, Rui and Ostendorf, Mari and Zettlemoyer, Luke and Smith, Noah A. and Yu, Tao},
-  journal = {International Conference on Learning Representations (ICLR)},
-  year    = {2023},
-  arxiv   = {2209.01975},
-  code    = {https://github.com/HKUNLP/icl-selective-annotation}
-}
 
 @article{wang2022evaluating,
   title   = {Evaluating Self-Supervised Learning for Molecular Graph Embeddings},
@@ -434,45 +518,3 @@ @article{wu2022lexical
   code    = {https://github.com/LividWo/KI}
 }
 
-
-
-@article{gao2023selfguided,
-  title    = {Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning},
-  author   = {Jiahui Gao and Renjie Pi and Lin Yong and Hang Xu and Jiacheng Ye and Zhiyong Wu and Weizhong Zhang and Xiaodan Liang and Zhenguo Li and Lingpeng Kong},
-  journal  = {International Conference on Learning Representations (ICLR)},
-  location = {Kigali, Rwanda},
-  year     = {2023},
-  arxiv    = {2205.12679},
-  code     = {https://github.com/SumilerGAO/SunGen}
-}
-
-@article{chen2023unsupervised,
-  title    = {Unsupervised Explanation Generation via Correct Instantiations},
-  author   = {Sijie Chen and Zhiyong Wu and Jiangjie Chen and Zhixing Li and Yang Liu and Lingpeng Kong},
-  journal  = {Proceedings of AAAI Conference on Artificial Intelligence (AAAI)},
-  location = {Washington, DC},
-  year     = {2023},
-  arxiv    = {2211.11160},
-  code     = {https://github.com/Shark-NLP/Neon}
-}
-
-@article{ma2023retrieved,
-  title   = {Retrieved Sequence Augmentation for Protein Representation Learning},
-  author  = {Chang Ma and Haiteng Zhao and Lin Zheng and Jiayi Xin and Qintong Li and Lijun Wu and Zhihong Deng and Yang Lu and Qi Liu and Lingpeng Kong},
-  journal = {arXiv preprint arXiv:2302.12563},
-  year    = {2023},
-  arxiv   = {2302.12563},
-  code    = {https://github.com/HKUNLP/RSA}
-}
-
-@article{zheng2023reparameterized,
-  title   = {A Reparameterized Discrete Diffusion Model for Text Generation},
-  author  = {Lin Zheng and Jianbo Yuan and Lei Yu and Lingpeng Kong},
-  journal = {arXiv preprint arXiv:2302.04542},
-  year    = {2023},
-  arxiv   = {2302.04542},
-  code    = {https://github.com/HKUNLP/reparam-discrete-diffusion}
-}
-
-
-