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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18,301 to 18,360 of 18,973

  1. Neural Language Modeling by Jointly Learning Syntax and Lexicon

    Yikang Shen, Zhouhan Lin, Chin-Wei Huang +1

    cs.CLcs.AIarXiv:1711.02013v22017
  2. Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

    Li-Wei Chen, Alexander Rudnicky

    eess.AScs.CLcs.LGarXiv:2110.06309v32021
  3. Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion

    Nikolaos Livathinos, Christoph Auer, Maksym Lysak +14

    cs.CLcs.CVcs.SEarXiv:2501.17887v12025
  4. From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education

    Gokhan Dogru, Adrià Martín Mor

    cs.CLarXiv:2609.00344v12026
  5. Are Language Models Models?

    Philip Resnik

    cs.CLcs.AIarXiv:2601.10421v12026
  6. 1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training

    Han Zhao, Haotian Wang, Yiping Peng +5

    cs.CLarXiv:2503.19633v12025
  7. Thinking with Generated Images

    Ethan Chern, Zhulin Hu, Steffi Chern +5

    cs.CVcs.AIcs.CLarXiv:2505.22525v12025
  8. Astra: A Multi-Agent System for GPU Kernel Performance Optimization

    Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5

    cs.DCcs.AIcs.CLarXiv:2509.07506v22025
  9. LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning

    Zhibin Lan, Liqiang Niu, Fandong Meng +2

    cs.CVcs.AIcs.CLarXiv:2503.04812v22025
  10. Getting pwn'd by AI: Penetration Testing with Large Language Models

    Andreas Happe, Jürgen Cito

    cs.CLcs.AIcs.CRarXiv:2308.00121v32023
  11. Are Reasoning Models More Prone to Hallucination?

    Zijun Yao, Yantao Liu, Yanxu Chen +5

    cs.CLcs.LGarXiv:2505.23646v12025
  12. Generative Pre-Training for Speech with Autoregressive Predictive Coding

    Yu-An Chung, James Glass

    eess.AScs.CLcs.LGarXiv:1910.12607v22019
  13. COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval

    Xirong Li, Chaoxi Xu, Xiaoxu Wang +4

    cs.CLcs.CVarXiv:1805.08661v22018
  14. The University of Edinburgh's Neural MT Systems for WMT17

    Rico Sennrich, Alexandra Birch, Anna Currey +5

    cs.CLarXiv:1708.00726v12017
  15. Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis

    Zhiyuan Cheng, Longying Lai, Yue Liu +2

    cs.CLarXiv:2603.16877v22026
  16. VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

    Disong Wang, Liqun Deng, Yu Ting Yeung +3

    eess.AScs.CLcs.MMarXiv:2106.10132v12021
  17. AVERT: Audio-Verified Adjudication for Spoken Dialogue State Tracking

    Chunggi Lee, Hanspeter Pfister

    cs.CLarXiv:2609.01828v12026
  18. How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations

    Betty van Aken, Benjamin Winter, Alexander Löser +1

    cs.CLcs.IRarXiv:1909.04925v12019
  19. The politics of postmortem privacy

    Mauricio Figueroa

    cs.CYcs.CLcs.SIarXiv:2608.16905v12026
  20. Agent S: An Open Agentic Framework that Uses Computers Like a Human

    Saaket Agashe, Jiuzhou Han, Shuyu Gan +3

    cs.AIcs.CLcs.CVarXiv:2410.08164v12024
  21. What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

    Jane Pan, Tianyu Gao, Howard Chen +1

    cs.CLcs.LGarXiv:2305.09731v12023
  22. Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

    Zirui Song, Bin Yan, Yuhan Liu +4

    cs.CLarXiv:2502.10708v22025
  23. Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

    Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng +1

    cs.CLcs.AIcs.LGarXiv:2310.06694v22023
  24. Large Language Models and Games: A Survey and Roadmap

    Roberto Gallotta, Graham Todd, Marvin Zammit +4

    cs.CLcs.AIcs.HCarXiv:2402.18659v52024
  25. Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

    John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel +1

    cs.CLarXiv:1909.06694v12019
  26. EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities

    Feitong Qiao, Liren Peng, Shiming Ren +7

    cs.CLcs.AIcs.CRarXiv:2609.00487v12026
  27. Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

    Han Wu, Yuxuan Yao, Shuqi Liu +7

    cs.CLarXiv:2503.20641v22025
  28. Learning to Remember Translation History with a Continuous Cache

    Zhaopeng Tu, Yang Liu, Shuming Shi +1

    cs.CLarXiv:1711.09367v12017
  29. A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review

    Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor +12

    cs.CLcs.AIarXiv:2405.02559v22024
  30. A Reasoning-Focused Legal Retrieval Benchmark

    Lucia Zheng, Neel Guha, Javokhir Arifov +5

    cs.CLarXiv:2505.03970v12025
  31. Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks

    Yauhen Babakhin, Radek Osmulski, Ronay Ak +5

    cs.CLcs.IRarXiv:2511.07025v12025
  32. Ethical Challenges in Data-Driven Dialogue Systems

    Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier +4

    cs.CLarXiv:1711.09050v12017
  33. SMART: Self-Aware Agent for Tool Overuse Mitigation

    Cheng Qian, Emre Can Acikgoz, Hongru Wang +5

    cs.AIcs.CLcs.LGarXiv:2502.11435v22025
  34. Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction

    Yuerong Song, Xiaoran Liu, Ruixiao Li +5

    cs.CLarXiv:2508.02558v22025
  35. Location-Aware Language Models via Secondary Embeddings

    Gokul Srinivasagan, Munir Georges

    cs.CLarXiv:2609.00454v12026
  36. SCORE: Story Coherence and Retrieval Enhancement for AI Narratives

    Qiang Yi, Yangfan He, Jianhui Wang +18

    cs.CLarXiv:2503.23512v62025
  37. From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery

    Tianshi Zheng, Zheye Deng, Hong Ting Tsang +4

    cs.CLarXiv:2505.13259v32025
  38. Character-Level Question Answering with Attention

    David Golub, Xiaodong He

    cs.CLcs.AIcs.LGarXiv:1604.00727v42016
  39. Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

    Quy-Anh Dang, Chris Ngo

    cs.LGcs.CLarXiv:2503.16219v22025
  40. ART: Automatic multi-step reasoning and tool-use for large language models

    Bhargavi Paranjape, Scott Lundberg, Sameer Singh +3

    cs.CLarXiv:2303.09014v12023
  41. CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language

    Qi Fan, An Zou, Yehan Ma

    cs.CLcs.AIcs.MAarXiv:2609.00058v12026
  42. MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs

    Erik Daxberger, Nina Wenzel, David Griffiths +8

    cs.CVcs.CLcs.LGarXiv:2503.13111v22025
  43. A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

    Shailja Gupta, Rajesh Ranjan, Surya Narayan Singh

    cs.CLcs.AIcs.IRarXiv:2410.12837v12024
  44. Attention Strategies for Multi-Source Sequence-to-Sequence Learning

    Jindřich Libovický, Jindřich Helcl

    cs.CLcs.NEarXiv:1704.06567v12017
  45. Factual Error Correction for Abstractive Summarization Models

    Meng Cao, Yue Dong, Jiapeng Wu +1

    cs.CLcs.AIarXiv:2010.08712v22020
  46. Attending to Characters in Neural Sequence Labeling Models

    Marek Rei, Gamal K. O. Crichton, Sampo Pyysalo

    cs.CLcs.LGcs.NEarXiv:1611.04361v12016
  47. GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models

    Jixiao Zhang, Chunsheng Zuo

    cs.CLarXiv:2504.09696v22025
  48. ACECODER: Acing Coder RL via Automated Test-Case Synthesis

    Huaye Zeng, Dongfu Jiang, Haozhe Wang +3

    cs.SEcs.AIcs.CLarXiv:2502.01718v42025
  49. A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks

    Chanwoo Jeong, Sion Jang, Hyuna Shin +2

    cs.CLcs.IRcs.LGarXiv:1903.06464v12019
  50. A Re-evaluation of Knowledge Graph Completion Methods

    Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal +2

    cs.CLarXiv:1911.03903v32019
  51. Visual Planning: Let's Think Only with Images

    Yi Xu, Chengzu Li, Han Zhou +4

    cs.LGcs.AIcs.CLarXiv:2505.11409v32025
  52. Toward Workflow-Aware Benchmarking for Healthcare NLP Agents

    Junyi Yao, Baichuan Li, Zihao Zheng +1

    cs.CLarXiv:2609.00296v12026
  53. Ola: Pushing the Frontiers of Omni-Modal Language Model

    Zuyan Liu, Yuhao Dong, Jiahui Wang +4

    cs.CVcs.CLcs.MMarXiv:2502.04328v32025
  54. Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives

    Haibo Jin, Suijin Wang, Xucheng Yu +2

    cs.SEcs.AIcs.CLarXiv:2609.01736v12026
  55. Translating Natural Language to Planning Goals with Large-Language Models

    Yaqi Xie, Chen Yu, Tongyao Zhu +3

    cs.CLcs.AIcs.ROarXiv:2302.05128v12023
  56. LLMs for Explainable AI: A Comprehensive Survey

    Ahsan Bilal, David Ebert, Beiyu Lin

    cs.AIcs.CLarXiv:2504.00125v12025
  57. LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

    Jianing Yang, Xuweiyi Chen, Shengyi Qian +4

    cs.CVcs.AIcs.CLarXiv:2309.12311v12023
  58. Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO

    Prakhar Gupta, Vaibhav Gupta

    cs.CLcs.AIcs.LGarXiv:2609.00925v12026
  59. Vision-Language Models Do Not Understand Negation

    Kumail Alhamoud, Shaden Alshammari, Yonglong Tian +4

    cs.CVcs.CLarXiv:2501.09425v22025
  60. AgentEvolver: Towards Efficient Self-Evolving Agent System

    Yunpeng Zhai, Shuchang Tao, Cheng Chen +10

    cs.LGcs.AIcs.CLarXiv:2511.10395v12025