Computation and Language

Papers filed under cs.CL on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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17,521 to 17,580 of 18,960

  1. WASSA-2017 Shared Task on Emotion Intensity

    Saif M. Mohammad, Felipe Bravo-Marquez

    cs.CLarXiv:1708.03700v12017
  2. Automatic Detection of Fake News

    Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre +1

    cs.CLarXiv:1708.07104v12017
  3. A Survey on LoRA of Large Language Models

    Yuren Mao, Yuhang Ge, Yijiang Fan +4

    cs.LGcs.AIcs.CLarXiv:2407.11046v42024
  4. GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning

    Mehran Kazemi, Hamidreza Alvari, Ankit Anand +3

    cs.CVcs.CLarXiv:2312.12241v12023
  5. Sparse Low-rank Adaptation of Pre-trained Language Models

    Ning Ding, Xingtai Lv, Qiaosen Wang +4

    cs.CLcs.AIcs.LGarXiv:2311.11696v12023
  6. A Large Self-Annotated Corpus for Sarcasm

    Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli

    cs.CLcs.AIcs.LGarXiv:1704.05579v42017
  7. Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses

    Xiaosen Zheng, Tianyu Pang, Chao Du +3

    cs.CLcs.AIcs.CRarXiv:2406.01288v22024
  8. mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

    Qinghao Ye, Haiyang Xu, Jiabo Ye +7

    cs.CLcs.CVarXiv:2311.04257v22023
  9. Learning to Generate Reviews and Discovering Sentiment

    Alec Radford, Rafal Jozefowicz, Ilya Sutskever

    cs.LGcs.CLcs.NEarXiv:1704.01444v22017
  10. Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions

    Yuxing Long, Xiaoqi Li, Wenzhe Cai +1

    cs.ROcs.AIcs.CLarXiv:2309.11382v12023
  11. When is multitask learning effective? Semantic sequence prediction under varying data conditions

    Héctor Martínez Alonso, Barbara Plank

    cs.CLarXiv:1612.02251v22016
  12. Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

    Shikhar Sharma, Layla El Asri, Hannes Schulz +1

    cs.CLarXiv:1706.09799v12017
  13. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

    Suncong Zheng, Feng Wang, Hongyun Bao +3

    cs.CLcs.AIcs.LGarXiv:1706.05075v12017
  14. SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

    Bohao Li, Rui Wang, Guangzhi Wang +3

    cs.CLcs.CVarXiv:2307.16125v22023
  15. Sequence-to-Sequence Models Can Directly Translate Foreign Speech

    Ron J. Weiss, Jan Chorowski, Navdeep Jaitly +2

    cs.CLcs.LGstat.MLarXiv:1703.08581v22017
  16. A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

    Antonio Valerio Miceli Barone, Rico Sennrich

    cs.CLcs.AIarXiv:1707.02275v12017
  17. Birth of a Transformer: A Memory Viewpoint

    Alberto Bietti, Vivien Cabannes, Diane Bouchacourt +2

    stat.MLcs.CLcs.LGarXiv:2306.00802v22023
  18. AutoGLM: Autonomous Foundation Agents for GUIs

    Xiao Liu, Bo Qin, Dongzhu Liang +27

    cs.HCcs.AIcs.CLarXiv:2411.00820v12024
  19. Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

    Xin Cheng, Di Luo, Xiuying Chen +3

    cs.CLcs.AIarXiv:2305.02437v32023
  20. Six Challenges for Neural Machine Translation

    Philipp Koehn, Rebecca Knowles

    cs.CLarXiv:1706.03872v12017
  21. Automated Hate Speech Detection and the Problem of Offensive Language

    Thomas Davidson, Dana Warmsley, Michael Macy +1

    cs.CLarXiv:1703.04009v12017
  22. English Conversational Telephone Speech Recognition by Humans and Machines

    George Saon, Gakuto Kurata, Tom Sercu +9

    cs.CLarXiv:1703.02136v12017
  23. Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

    Wang Ling, Dani Yogatama, Chris Dyer +1

    cs.AIcs.CLcs.LGarXiv:1705.04146v32017
  24. On the State of the Art of Evaluation in Neural Language Models

    Gábor Melis, Chris Dyer, Phil Blunsom

    cs.CLarXiv:1707.05589v22017
  25. A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

    Benjamin Riedel, Isabelle Augenstein, Georgios P. Spithourakis +1

    cs.CLarXiv:1707.03264v22017
  26. ToolACE: Winning the Points of LLM Function Calling

    Weiwen Liu, Xu Huang, Xingshan Zeng +24

    cs.LGcs.AIcs.CLarXiv:2409.00920v22024
  27. Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective

    Zihao Yue, Liang Zhang, Qin Jin

    cs.CLcs.CVarXiv:2402.14545v22024
  28. A Teacher-Student Framework for Zero-Resource Neural Machine Translation

    Yun Chen, Yang Liu, Yong Cheng +1

    cs.CLarXiv:1705.00753v12017
  29. The E2E Dataset: New Challenges For End-to-End Generation

    Jekaterina Novikova, Ondřej Dušek, Verena Rieser

    cs.CLarXiv:1706.09254v22017
  30. SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation

    Felix Hill, Roi Reichart, Anna Korhonen

    cs.CLarXiv:1408.3456v12014
  31. Semi-supervised sequence tagging with bidirectional language models

    Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula +1

    cs.CLarXiv:1705.00108v12017
  32. MAUVE Scores for Generative Models: Theory and Practice

    Krishna Pillutla, Lang Liu, John Thickstun +6

    cs.LGcs.AIcs.CLarXiv:2212.14578v22022
  33. Comparing and Combining Sentiment Analysis Methods

    Pollyanna Gonçalves, Matheus Araújo, Fabrício Benevenuto +1

    cs.CLarXiv:1406.0032v12014
  34. End-to-End Multimodal Emotion Recognition using Deep Neural Networks

    Panagiotis Tzirakis, George Trigeorgis, Mihalis A. Nicolaou +2

    cs.CVcs.CLarXiv:1704.08619v12017
  35. Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton +11

    cs.CLcs.LGcs.SDarXiv:1703.10135v22017
  36. Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals

    Piotr Mirowski, Kory W. Mathewson, Jaylen Pittman +1

    cs.HCcs.CLarXiv:2209.14958v12022
  37. CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

    Zheqi He, Xinya Wu, Pengfei Zhou +5

    cs.CLcs.AIcs.MMarXiv:2401.14011v32024
  38. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

    Leon Derczynski, Kalina Bontcheva, Maria Liakata +3

    cs.CLcs.AIarXiv:1704.05972v12017
  39. Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

    Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen +5

    cs.CLcs.AIarXiv:2308.11995v12023
  40. An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

    Pengyu Zhao, Zijian Jin, Ning Cheng

    cs.CLcs.AIarXiv:2309.14365v12023
  41. Massive Exploration of Neural Machine Translation Architectures

    Denny Britz, Anna Goldie, Minh-Thang Luong +1

    cs.CLarXiv:1703.03906v22017
  42. DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

    Abhay Zala, Han Lin, Jaemin Cho +1

    cs.CVcs.AIcs.CLarXiv:2310.12128v22023
  43. The LAMBADA dataset: Word prediction requiring a broad discourse context

    Denis Paperno, Germán Kruszewski, Angeliki Lazaridou +6

    cs.CLcs.AIcs.LGarXiv:1606.06031v12016
  44. Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks

    Yiming Zhu, Peixian Zhang, Ehsan-Ul Haq +2

    cs.AIcs.CLarXiv:2304.10145v22023
  45. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

    Yuhao Dan, Zhikai Lei, Yiyang Gu +13

    cs.CLarXiv:2308.02773v12023
  46. In-context Example Selection with Influences

    Tai Nguyen, Eric Wong

    cs.CLcs.LGarXiv:2302.11042v22023
  47. Can GPT-3 Perform Statutory Reasoning?

    Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

    cs.CLcs.AIarXiv:2302.06100v22023
  48. Neural Machine Translation in Linear Time

    Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan +3

    cs.CLcs.LGarXiv:1610.10099v22016
  49. When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

    Zhuo Zhang, Yuanhang Yang, Yong Dai +2

    cs.LGcs.CLarXiv:2212.10025v22022
  50. Linguistic Input Features Improve Neural Machine Translation

    Rico Sennrich, Barry Haddow

    cs.CLarXiv:1606.02892v22016
  51. Thinking Fast and Slow in Large Language Models

    Thilo Hagendorff, Sarah Fabi, Michal Kosinski

    cs.CLcs.AIcs.LGarXiv:2212.05206v22022
  52. Ex Machina: Personal Attacks Seen at Scale

    Ellery Wulczyn, Nithum Thain, Lucas Dixon

    cs.CLarXiv:1610.08914v22016
  53. GenRec: Large Language Model for Generative Recommendation

    Jianchao Ji, Zelong Li, Shuyuan Xu +4

    cs.IRcs.AIcs.CLarXiv:2307.00457v22023
  54. A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

    Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4

    cs.CLcs.AIcs.LGarXiv:1605.06069v32016
  55. Toward Controlled Generation of Text

    Zhiting Hu, Zichao Yang, Xiaodan Liang +2

    cs.LGcs.AIcs.CLarXiv:1703.00955v42017
  56. Recurrent Neural Network for Text Classification with Multi-Task Learning

    Pengfei Liu, Xipeng Qiu, Xuanjing Huang

    cs.CLarXiv:1605.05101v12016
  57. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

    Yiheng Liu, Tianle Han, Siyuan Ma +15

    cs.CLarXiv:2304.01852v42023
  58. What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure

    Lukas Galke, Yoav Ram, Limor Raviv

    cs.CLarXiv:2302.12239v42023
  59. Specializing Smaller Language Models towards Multi-Step Reasoning

    Yao Fu, Hao Peng, Litu Ou +2

    cs.CLcs.AIcs.LGarXiv:2301.12726v12023
  60. Beam Search Strategies for Neural Machine Translation

    Markus Freitag, Yaser Al-Onaizan

    cs.CLarXiv:1702.01806v22017