NLP Highlights热榜 - Hot点·热榜

1 Are LLMs safe? ↗

2 "Imaginative AI" with Mohamed Elhoseiny ↗

3 142 - Science Of Science, with Kyle Lo ↗

4 141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld ↗

5 140 - Generative AI and Copyright, with Chris Callison-Burch ↗

6 139 - Coherent Long Story Generation, with Kevin Yang ↗

7 138 - Compositional Generalization in Neural Networks, with Najoung Kim ↗

8 137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal ↗

9 136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani ↗

10 135 - PhD Application Series: After Submitting Applications ↗

11 134 - PhD Application Series: PhDs in Europe versus the US, with Barbara Plank and Gonçalo Correia ↗

12 133 - PhD Application Series: Preparing Application Materials, with Nathan Schneider and Roma Patel ↗

13 132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek ↗

14 131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski ↗

15 130 - Linking human cognitive patterns to NLP Models, with Lisa Beinborn ↗

16 129 - Transformers and Hierarchical Structure, with Shunyu Yao ↗

17 128 - Dynamic Benchmarking, with Douwe Kiela ↗

18 127 - Masakhane and Participatory Research for African Languages, with Tosin Adewumi and Perez Ogayo ↗

19 126 - Optimizing Continuous Prompts for Generation, with Lisa Li ↗

20 125 - VQA for Real Users, with Danna Gurari ↗

21 124 - Semantic Machines and Task-Oriented Dialog, with Jayant Krishnamurthy and Hao Fang ↗

22 123 - Robust NLP, with Robin Jia ↗

23 122 - Statutory Reasoning in Tax Law, with Nils Holzenberger ↗

24 121 - Language and the Brain, with Alona Fyshe ↗

25 120 - Evaluation of Text Generation, with Asli Celikyilmaz ↗

26 119 - Social NLP, with Diyi Yang ↗

27 118 - Coreference Resolution, with Marta Recasens ↗

28 117 - Interpreting NLP Model Predictions, with Sameer Singh ↗

29 116 - Grounded Language Understanding, with Yonatan Bisk ↗

30 115 - AllenNLP, interviewing Matt Gardner ↗

31 114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro ↗

32 113 - Managing Industry Research Teams, with Fernando Pereira ↗

33 112 - Alignment of Multilingual Contextual Representations, with Steven Cao ↗

34 111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark ↗

35 110 - Natural Questions, with Tom Kwiatkowski and Michael Collins ↗

36 109 - What Does Your Model Know About Language, with Ellie Pavlick ↗

37 108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek ↗

38 107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal ↗

39 106 - Ethical Considerations In NLP Research, with Emily Bender ↗

40 105 - Question Generation, with Sudha Rao ↗

41 104 - Model Distillation, with Victor Sanh and Thomas Wolf ↗

42 103 - Processing Language in Social Media, with Brendan O'Connor ↗

43 102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman ↗

44 101 - The lottery ticket hypothesis, with Jonathan Frankle ↗

45 100 - NLP Startups, with Oren Etzioni ↗

46 99 - Evaluating Protein Transfer Learning, With Roshan Rao And Neil Thomas ↗

47 98 - Analyzing Information Flow In Transformers, With Elena Voita ↗

48 97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick ↗

49 96 - Question Answering as an Annotation Format, with Luke Zettlemoyer ↗

50 95 - Common sense reasoning, with Yejin Choi ↗

51 94 - Decompositional Semantics, with Aaron White ↗

52 93 - NLP/ML for clinical data, with Alistair Johnson ↗

53 92 - Computational Humanities, with David Bamman ↗

54 91 - (Executable) Semantic Parsing, with Jonathan Berant ↗

55 90 - Research in Academia versus Industry, with Philip Resnik and Jason Baldridge ↗

56 89 - Dialog Systems, with Zhou Yu ↗

57 88 - A Structural Probe for Finding Syntax in Word Representations, with John Hewitt ↗

58 87 - Pathologies of Neural Models Make Interpretation Difficult, with Shi Feng ↗

59 86 - NLP for Evidence-based Medicine, with Byron Wallace ↗

60 85 - Stress in Research, with Charles Sutton ↗

61 84 - Large Teams Develop, Small Groups Disrupt, with Lingfei Wu ↗

62 83 - Knowledge Base Construction, with Sebastian Riedel ↗

63 82 - Visual Reasoning, with Yoav Artzi ↗

64 81 - BlackboxNLP, with Afra Alishahi and Tal Linzen ↗

65 80 - Leaderboards and Science, with Siva Reddy ↗

66 79 - The glass ceiling in NLP, with Natalie Schluter ↗

67 78. Where do corpora come from?, with Matt Honnibal and Ines Montani ↗

68 77. On Writing Quality Peer Reviews, with Noah A. Smith ↗

69 76 - Increasing In-Class Similarity by Retrofitting Embeddings with Demographics, with Dirk Hovy ↗

70 75 - Reinforcement / Imitation Learning in NLP, with Hal Daumé III ↗

71 74 - Deep Reinforcement Learning Doesn't Work Yet, with Alex Irpan ↗

72 73 - Supersense Disambiguation of English Prepositions and Possessives, with Nathan Schneider ↗

73 72 - The Anatomy Question Answering Task, with Jordan Boyd-Graber ↗

74 71 - DuoRC: Complex Language Understanding with Paraphrased Reading Comprehension, with Amrita Saha ↗

75 70 - Measuring the Evolution of a Scientific Field through Citation Frames, with David Jurgens ↗

76 69 - Second language acquisition modeling, with Burr Settles ↗

77 68 - Neural models of factuality, with Rachel Rudinger ↗

78 67 - GLUE: A Multi-Task Benchmark and Analysis Platform, with Sam Bowman ↗

79 66 - Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods, with Jieyu Zhao ↗

80 65 - Event Representations with Tensor-based Compositions, with Niranjan Balasubramanian ↗

81 64 - Neural Network Models for Sentence Pair Tasks, with Wuwei Lan and Wei Xu ↗

82 63 - Neural Lattice Language Models, with Jacob Buckman ↗

83 62 - Sounding Board: A User-Centric and Content-Driven Social Chatbot, with Hao Fang ↗

84 61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji ↗

85 60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne ↗

86 59 - Weakly Supervised Semantic Parsing With Abstract Examples, with Omer Goldman ↗

87 58 - Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers, with André Martins ↗

88 57 - A Survey Of Cross-lingual Word Embedding Models, with Sebastian Ruder ↗

89 56 - Deep contextualized word representations, with Matthew Peters ↗

90 55 - Matchbox: Dispatch-driven autobatching for imperative deep learning, with James Bradbury ↗

91 54 - Simulating Action Dynamics with Neural Process Networks, with Antoine Bosselut ↗

92 53 - Classical Structured Prediction Losses for Sequence to Sequence Learning, with Sergey and Myle ↗

93 52 - Sequence-to-Sequence Learning as Beam-Search Optimization, with Sam Wiseman ↗

94 51 - A Regularized Framework for Sparse and Structured Neural Attention, with Vlad Niculae ↗

95 50 - Cardinal Virtues: Extracting Relation Cardinalities from Text, with Paramita Mirza ↗

96 49 - A Joint Sequential and Relational Model for Frame-Semantic Parsing, with Bishan Yang ↗

97 48 - Incidental Supervision: Moving Beyond Supervised Learning, with Dan Roth ↗

98 47 - Dynamic integration of background knowledge in neural NLU systems, with Dirk Weißenborn ↗

99 46 - Parsing with Traces, with Jonathan Kummerfeld ↗

100 45 - Build It, Break It workshop, with Allyson Ettinger and Sudha Rao ↗