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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18,661 to 18,720 of 18,967

Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma +2
cs.LGcs.AIcs.CLarXiv:2305.17126v22023
DocBERT: BERT for Document Classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang +1
cs.CLarXiv:1904.08398v32019
Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter
Ziqi Zhang, Lei Luo
cs.CLarXiv:1803.03662v22018
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila +45
cs.CLcs.AIcs.LGarXiv:2010.02353v22020
Automatic Detection of Cyberbullying in Social Media Text
Cynthia Van Hee, Gilles Jacobs, Chris Emmery +6
cs.CLcs.CYcs.SIarXiv:1801.05617v12018
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah +2
stat.MLcs.CLcs.LGarXiv:2202.05520v22022
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu +2
cs.CLcs.AIarXiv:2405.14831v32024
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin, Miles Brundage, Jack Clark +1
cs.CLcs.LGarXiv:2102.02503v12021
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda +1
cs.CLarXiv:1601.01343v42016
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder, Katherine A. Keith, Emaad Manzoor +10
cs.CLcs.LGarXiv:2109.00725v22021
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, Geoffrey Zweig
cs.AIcs.CLarXiv:1702.03274v22017
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Hamed Jelodar, Yongli Wang, Rita Orji +1
cs.IRcs.CLarXiv:2004.11695v12020
Measuring short-form factuality in large language models
Jason Wei, Nguyen Karina, Hyung Won Chung +5
cs.CLarXiv:2411.04368v12024
Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal, Dhruv Batra, Devi Parikh
cs.CLcs.AIcs.CVarXiv:1606.07356v22016
Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models
Haoran Wang, Xiongxiao Xu, Philip S. Yu +1
cs.CLarXiv:2608.14797v12026
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents
Weixiong Lin, Ziheng Zhao, Xiaoman Zhang +4
cs.CVcs.CLcs.LGarXiv:2303.07240v12023
German's Next Language Model
Branden Chan, Stefan Schweter, Timo Möller
cs.CLcs.LGarXiv:2010.10906v42020
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
Siddharth Samsi, Dan Zhao, Joseph McDonald +7
cs.CLcs.DCarXiv:2310.03003v12023
Multimodal Speech Emotion Recognition Using Audio and Text
Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
cs.CLarXiv:1810.04635v12018
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
cs.CLcs.LGarXiv:1703.06345v12017
Multilingual and Multi-Aspect Hate Speech Analysis
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang +2
cs.CLarXiv:1908.11049v12019
Nomic Embed: Training a Reproducible Long Context Text Embedder
Zach Nussbaum, John X. Morris, Brandon Duderstadt +1
cs.CLcs.AIarXiv:2402.01613v22024
VeRA: Vector-based Random Matrix Adaptation
Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano
cs.CLarXiv:2310.11454v22023
Unleashing the potential of prompt engineering for large language models
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené +1
cs.CLcs.AIarXiv:2310.14735v62023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen, Zheng Liu, Xu Huang +9
cs.IRcs.AIcs.CLarXiv:2307.16376v12023
How to Generate a Good Word Embedding?
Siwei Lai, Kang Liu, Liheng Xu +1
cs.CLarXiv:1507.05523v12015
Deep Keyphrase Generation
Rui Meng, Sanqiang Zhao, Shuguang Han +3
cs.CLarXiv:1704.06879v32017
CEDR: Contextualized Embeddings for Document Ranking
Sean MacAvaney, Andrew Yates, Arman Cohan +1
cs.IRcs.CLarXiv:1904.07094v32019
Neural Question Generation from Text: A Preliminary Study
Qingyu Zhou, Nan Yang, Furu Wei +3
cs.CLarXiv:1704.01792v32017
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale
Jiayu Du, Xingyu Na, Xuechen Liu +1
cs.CLarXiv:1808.10583v22018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1
cs.CLcs.LGarXiv:1809.06416v12018
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Jingyang Ou, Shen Nie, Kaiwen Xue +4
cs.LGcs.CLarXiv:2406.03736v42024
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo +8
cs.CLarXiv:1807.02478v12018
One-step and Two-step Classification for Abusive Language Detection on Twitter
Ji Ho Park, Pascale Fung
cs.CLarXiv:1706.01206v12017
Social Biases in NLP Models as Barriers for Persons with Disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton +3
cs.CLcs.AIcs.LGarXiv:2005.00813v12020
Why RAGs Hallucinate: Penalty-Aware Evaluation of Retrieval-Augmented Generation Systems with Knowledge-Gap Canaries
Alden Do Rosario, Hussein Younes, Felipe Pires
cs.CLcs.AIarXiv:2608.26385v12026
pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli
cs.LGcs.AIcs.CLarXiv:1705.07962v22017
Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit
Shuyi Fan, Boyuan Deng, Mengyu Xu +3
cs.CLcs.AIcs.CYarXiv:2608.27309v12026
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
Nora Kassner, Hinrich Schütze
cs.CLarXiv:1911.03343v32019
Long-context LLMs Struggle with Long In-context Learning
Tianle Li, Ge Zhang, Quy Duc Do +2
cs.CLcs.AIarXiv:2404.02060v32024
Investigating the Influence of Prompt and Response Languages on LLM Content Generation
Thi Thanh Nhan Nguyen, Mai Khoi Tieu, Michael A. Riegler +2
cs.CLcs.AIarXiv:2608.26186v12026
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
Peter West, Chandra Bhagavatula, Jack Hessel +6
cs.CLarXiv:2110.07178v22021
Scaling phoneme-based TTS augmentation for ASR: A unified pipeline and controlled study
Zhen Wang, TianRui Wu, RongQi Han +2
cs.CLarXiv:2608.26697v12026
The Latent Diagnostic Taxonomy: A Framework for Constructing Classifiers and Diagnosing Their Decisions, Applied to Prompt Injection Detection
Jaturong Kongmanee, Smile Thanapattheerakul
cs.LGcs.AIcs.CLarXiv:2608.26423v12026
A Survey on Hallucination in Large Vision-Language Models
Hanchao Liu, Wenyuan Xue, Yifei Chen +6
cs.CVcs.CLcs.LGarXiv:2402.00253v22024
From Errors to Proofs: Minimal-Core-Guided Repair for Neuro-Symbolic Constraint Solving
Dipankar Sarkar
cs.AIcs.CLcs.LGarXiv:2608.14771v12026
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang +5
cs.LGcs.AIcs.CLarXiv:2404.14618v12024
Cultural Bias and Cultural Alignment of Large Language Models
Yan Tao, Olga Viberg, Ryan S. Baker +1
cs.CLcs.AIarXiv:2311.14096v22023
Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang +2
cs.LGcs.CLarXiv:2002.11296v12020
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Boshi Wang, Sewon Min, Xiang Deng +4
cs.CLarXiv:2212.10001v22022
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel +2
cs.CLcs.LGarXiv:2010.12309v32020
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Chengsong Huang, Qian Liu, Bill Yuchen Lin +3
cs.CLcs.AIarXiv:2307.13269v32023
Neural Text Summarization: A Critical Evaluation
Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann +2
cs.CLarXiv:1908.08960v12019
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
Oscar Sainz, Jon Ander Campos, Iker García-Ferrero +3
cs.CLarXiv:2310.18018v12023
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Zeming Chen, Alejandro Hernández Cano, Angelika Romanou +17
cs.CLcs.AIcs.LGarXiv:2311.16079v12023
CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings
Shinji Watanabe, Michael Mandel, Jon Barker +18
cs.SDcs.CLeess.ASarXiv:2004.09249v22020
QASC: A Dataset for Question Answering via Sentence Composition
Tushar Khot, Peter Clark, Michal Guerquin +2
cs.CLarXiv:1910.11473v22019
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
Martin Müller, Marcel Salathé, Per E Kummervold
cs.CLcs.LGcs.SIarXiv:2005.07503v12020
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Tianyang Liu, Canwen Xu, Julian McAuley
cs.CLcs.AIcs.SEarXiv:2306.03091v22023
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen +11
cs.LGcs.CLcs.SDarXiv:1909.09577v12019

Computation and Language

Large Language Models as Tool Makers

DocBERT: BERT for Document Classification

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Automatic Detection of Cyberbullying in Social Media Text

What Does it Mean for a Language Model to Preserve Privacy?

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Measuring short-form factuality in large language models

Analyzing the Behavior of Visual Question Answering Models

Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models

PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

German's Next Language Model

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

Multimodal Speech Emotion Recognition Using Audio and Text

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

Multilingual and Multi-Aspect Hate Speech Analysis

Nomic Embed: Training a Reproducible Long Context Text Embedder

VeRA: Vector-based Random Matrix Adaptation

Unleashing the potential of prompt engineering for large language models

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

How to Generate a Good Word Embedding?

Deep Keyphrase Generation

CEDR: Contextualized Embeddings for Document Ranking

Neural Question Generation from Text: A Preliminary Study

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

One-step and Two-step Classification for Abusive Language Detection on Twitter

Social Biases in NLP Models as Barriers for Persons with Disabilities

Why RAGs Hallucinate: Penalty-Aware Evaluation of Retrieval-Augmented Generation Systems with Knowledge-Gap Canaries

pix2code: Generating Code from a Graphical User Interface Screenshot

Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly

Long-context LLMs Struggle with Long In-context Learning

Investigating the Influence of Prompt and Response Languages on LLM Content Generation

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models

Scaling phoneme-based TTS augmentation for ASR: A unified pipeline and controlled study

The Latent Diagnostic Taxonomy: A Framework for Constructing Classifiers and Diagnosing Their Decisions, Applied to Prompt Injection Detection

A Survey on Hallucination in Large Vision-Language Models

From Errors to Proofs: Minimal-Core-Guided Repair for Neuro-Symbolic Constraint Solving

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Cultural Bias and Cultural Alignment of Large Language Models

Sparse Sinkhorn Attention

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Neural Text Summarization: A Critical Evaluation

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

QASC: A Dataset for Question Answering via Sentence Composition

COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

NeMo: a toolkit for building AI applications using Neural Modules