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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17,161 to 17,220 of 19,062

Efficiently Scaling Transformer Inference
Reiner Pope, Sholto Douglas, Aakanksha Chowdhery +7
cs.LGcs.CLarXiv:2211.05102v12022
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding
Uri Shaham, Maor Ivgi, Avia Efrat +2
cs.CLcs.AIcs.LGarXiv:2305.14196v32023
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Yuqi Zhu, Xiaohan Wang, Jing Chen +6
cs.CLcs.AIcs.DBarXiv:2305.13168v42023
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen, Josip Djolonga, Piotr Padlewski +40
cs.CVcs.CLcs.LGarXiv:2305.18565v12023
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Yuanmeng Yan, Rumei Li, Sirui Wang +3
cs.CLcs.AIarXiv:2105.11741v12021
Gorilla: Large Language Model Connected with Massive APIs
Shishir G. Patil, Tianjun Zhang, Xin Wang +1
cs.CLcs.AIarXiv:2305.15334v12023
"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data
Mubin Ul Haque, Isuru Dharmadasa, Zarrin Tasnim Sworna +2
cs.CLarXiv:2212.05856v12022
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Sihan Chen, Handong Li, Qunbo Wang +4
cs.CVcs.AIcs.CLarXiv:2305.18500v22023
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Mohammadreza Pourreza, Davood Rafiei
cs.CLcs.AIcs.DBarXiv:2304.11015v32023
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability
Aiwei Liu, Xuming Hu, Lijie Wen +1
cs.CLcs.AIarXiv:2303.13547v12023
Poisoning Language Models During Instruction Tuning
Alexander Wan, Eric Wallace, Sheng Shen +1
cs.CLcs.CRcs.LGarXiv:2305.00944v12023
How well do Large Language Models perform in Arithmetic tasks?
Zheng Yuan, Hongyi Yuan, Chuanqi Tan +2
cs.CLcs.AIarXiv:2304.02015v12023
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Liška, Tomáš Kočiský, Elena Gribovskaya +11
cs.CLcs.LGarXiv:2205.11388v12022
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Alon Jacovi, Avi Caciularu, Omer Goldman +1
cs.CLcs.AIarXiv:2305.10160v22023
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
Wenhui Wang, Hangbo Bao, Li Dong +8
cs.CVcs.CLarXiv:2208.10442v22022
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
Xingwei He, Zhenghao Lin, Yeyun Gong +7
cs.CLarXiv:2303.16854v22023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang, Xiangfei Hu, Bohao Li +5
cs.CVcs.CLarXiv:2303.02151v12023
Query2doc: Query Expansion with Large Language Models
Liang Wang, Nan Yang, Furu Wei
cs.IRcs.CLarXiv:2303.07678v22023
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
Junqi Dai, Hang Yan, Tianxiang Sun +2
cs.CLarXiv:2104.04986v12021
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan +3
cs.CLcs.AIcs.CVarXiv:2303.17580v42023
Extracting Latent Steering Vectors from Pretrained Language Models
Nishant Subramani, Nivedita Suresh, Matthew E. Peters
cs.CLcs.AIcs.LGarXiv:2205.05124v12022
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Sheng-Chieh Lin, Akari Asai, Minghan Li +5
cs.IRcs.CLarXiv:2302.07452v12023
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Alex Mallen, Akari Asai, Victor Zhong +3
cs.CLcs.AIcs.LGarXiv:2212.10511v42022
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre, Le Hou, Tu Vu +8
cs.AIcs.CLcs.LGarXiv:2301.13688v22023
Large Language Models Are Reasoning Teachers
Namgyu Ho, Laura Schmid, Se-Young Yun
cs.CLcs.AIcs.LGarXiv:2212.10071v22022
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He, Hongming Zhang, Dan Roth
cs.CLcs.AIarXiv:2301.00303v12022
Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?
Byung-Doh Oh, William Schuler
cs.CLarXiv:2212.12131v12022
Benchmarking Large Language Models for News Summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus +3
cs.CLcs.AIcs.LGarXiv:2301.13848v12023
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Oier Mees, Lukas Hermann, Erick Rosete-Beas +1
cs.ROcs.AIcs.CLarXiv:2112.03227v42021
Translation between Molecules and Natural Language
Carl Edwards, Tuan Lai, Kevin Ros +3
cs.CLcs.AIarXiv:2204.11817v32022
TALM: Tool Augmented Language Models
Aaron Parisi, Yao Zhao, Noah Fiedel
cs.CLcs.AIarXiv:2205.12255v12022
Textless Speech-to-Speech Translation on Real Data
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8
cs.CLcs.AIcs.LGarXiv:2112.08352v22021
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin +7
cs.SEcs.CLcs.LGarXiv:2204.05999v32022
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh +1
cs.CLarXiv:2101.03289v52021
Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee +1
cs.CLcs.IRarXiv:2109.08535v32021
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
Yujian Gan, Xinyun Chen, Matthew Purver
cs.CLarXiv:2109.05157v12021
Who is GPT-3? An Exploration of Personality, Values and Demographics
Marilù Miotto, Nicola Rossberg, Bennett Kleinberg
cs.CLarXiv:2209.14338v22022
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang, Jiahui Yu, Adams Wei Yu +3
cs.CVcs.CLcs.LGarXiv:2108.10904v32021
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu, Hao Peng, Ashish Sabharwal +2
cs.CLcs.AIcs.LGarXiv:2210.00720v22022
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
Alex Warstadt, Samuel R. Bowman
cs.CLarXiv:2208.07998v22022
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference
Thierry Tambe, Coleman Hooper, Lillian Pentecost +8
cs.ARcs.CLarXiv:2011.14203v52020
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
Hai Dang, Lukas Mecke, Florian Lehmann +2
cs.HCcs.CLarXiv:2209.01390v12022
Teaching Models to Express Their Uncertainty in Words
Stephanie Lin, Jacob Hilton, Owain Evans
cs.CLcs.AIcs.LGarXiv:2205.14334v22022
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
cs.CLcs.AIcs.LGarXiv:2203.14371v12022
MDFEND: Multi-domain Fake News Detection
Qiong Nan, Juan Cao, Yongchun Zhu +2
cs.CLcs.AIcs.SIarXiv:2201.00987v12022
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia
Alham Fikri Aji, Genta Indra Winata, Fajri Koto +9
cs.CLarXiv:2203.13357v12022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
Alexis Conneau, Min Ma, Simran Khanuja +6
cs.CLcs.LGcs.SDarXiv:2205.12446v12022
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
cs.CVcs.AIcs.CLarXiv:2203.05557v22022
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
Sven Buechel, Udo Hahn
cs.CLcs.AIcs.LGarXiv:2205.01996v12022
Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval
Nina Shvetsova, Brian Chen, Andrew Rouditchenko +6
cs.CVcs.CLcs.SDarXiv:2112.04446v22021
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
Yupan Huang, Tengchao Lv, Lei Cui +2
cs.CLcs.CVarXiv:2204.08387v32022
Emotional Voice Conversion: Theory, Databases and ESD
Kun Zhou, Berrak Sisman, Rui Liu +1
cs.CLarXiv:2105.14762v22021
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Apoorv Saxena, Adrian Kochsiek, Rainer Gemulla
cs.CLcs.LGarXiv:2203.10321v12022
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus
Alexandra Sasha Luccioni, Joseph D. Viviano
cs.CLarXiv:2105.02732v32021
Larger-Scale Transformers for Multilingual Masked Language Modeling
Naman Goyal, Jingfei Du, Myle Ott +2
cs.CLarXiv:2105.00572v12021
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
cs.CVcs.AIcs.CLarXiv:2112.06825v22021
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Maarten Grootendorst
cs.CLarXiv:2203.05794v12022
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond
Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados
cs.CLarXiv:2104.12250v22021
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami +4
cs.CVcs.CLarXiv:2112.04482v32021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Markus Freitag, George Foster, David Grangier +3
cs.CLcs.AIcs.LGarXiv:2104.14478v12021

Computation and Language

Efficiently Scaling Transformer Inference

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

PaLI-X: On Scaling up a Multilingual Vision and Language Model

ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

Gorilla: Large Language Model Connected with Massive APIs

"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset

DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Poisoning Language Models During Instruction Tuning

How well do Large Language Models perform in Arithmetic tasks?

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

Query2doc: Query Expansion with Large Language Models

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Extracting Latent Steering Vectors from Pretrained Language Models

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Large Language Models Are Reasoning Teachers

Rethinking with Retrieval: Faithful Large Language Model Inference

Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?

Benchmarking Large Language Models for News Summarization

CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Translation between Molecules and Natural Language

TALM: Tool Augmented Language Models

Textless Speech-to-Speech Translation on Real Data

InCoder: A Generative Model for Code Infilling and Synthesis

Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing

Simple Entity-Centric Questions Challenge Dense Retrievers

Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization

Who is GPT-3? An Exploration of Personality, Values and Demographics

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Complexity-Based Prompting for Multi-Step Reasoning

What Artificial Neural Networks Can Tell Us About Human Language Acquisition

EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference

How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Teaching Models to Express Their Uncertainty in Words

MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

MDFEND: Multi-domain Fake News Detection

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Conditional Prompt Learning for Vision-Language Models

EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval

LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Emotional Voice Conversion: Theory, Databases and ESD

Sequence-to-Sequence Knowledge Graph Completion and Question Answering

What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus

Larger-Scale Transformers for Multilingual Masked Language Modeling

VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

FLAVA: A Foundational Language And Vision Alignment Model

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation