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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4,981 to 5,040 of 11,259

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu, Sheng-hao Wu, Jibin Wu +2
cs.NEcs.AIcs.CLarXiv:2401.10034v32024
Unsupervised Evaluation of Interactive Dialog with DialoGPT
Shikib Mehri, Maxine Eskenazi
cs.CLcs.AIcs.HCarXiv:2006.12719v12020
Sentiment and Sarcasm Classification with Multitask Learning
Navonil Majumder, Soujanya Poria, Haiyun Peng +3
cs.CLarXiv:1901.08014v22019
ProPILE: Probing Privacy Leakage in Large Language Models
Siwon Kim, Sangdoo Yun, Hwaran Lee +3
cs.CRcs.CLarXiv:2307.01881v12023
A Review on Language Models as Knowledge Bases
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz +2
cs.CLcs.AIarXiv:2204.06031v12022
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems
Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo +3
cs.CRcs.AIcs.CLarXiv:2304.14746v12023
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model
Liu Yang, Qingyao Ai, Jiafeng Guo +1
cs.IRcs.CLarXiv:1801.01641v22018
Let's Think Dot by Dot: Hidden Computation in Transformer Language Models
Jacob Pfau, William Merrill, Samuel R. Bowman
cs.CLcs.AIarXiv:2404.15758v12024
CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
Chaohui Guo, Michel Klein, Zhisheng Huang
cs.CLarXiv:2609.01195v12026
On the Dimensionality of Word Embedding
Zi Yin, Yuanyuan Shen
cs.LGcs.CLstat.MLarXiv:1812.04224v12018
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
Holger Schwenk, Matthijs Douze
cs.CLarXiv:1704.04154v22017
Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang, Quanming Yao
cs.AIcs.CLarXiv:2108.06040v22021
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu +9
cs.CLcs.AIcs.LGarXiv:2402.16822v32024
Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study
Zengzhi Wang, Qiming Xie, Yi Feng +3
cs.CLcs.AIarXiv:2304.04339v22023
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer +1
cs.CLcs.SEarXiv:1802.08979v22018
Repeat After Me: Transformers are Better than State Space Models at Copying
Samy Jelassi, David Brandfonbrener, Sham M. Kakade +1
cs.LGcs.AIcs.CLarXiv:2402.01032v22024
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler, Varvara Logacheva, Maksim Kretov
cs.CLcs.LGstat.MLarXiv:1812.06158v12018
Text-to-Text Pre-Training for Data-to-Text Tasks
Mihir Kale, Abhinav Rastogi
cs.CLarXiv:2005.10433v32020
Re-evaluating Evaluation in Text Summarization
Manik Bhandari, Pranav Gour, Atabak Ashfaq +2
cs.CLcs.IRcs.LGarXiv:2010.07100v12020
Cross-lingual Contextualized Topic Models with Zero-shot Learning
Federico Bianchi, Silvia Terragni, Dirk Hovy +2
cs.CLarXiv:2004.07737v22020
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
Liwei Jiang, Kavel Rao, Seungju Han +8
cs.CLarXiv:2406.18510v12024
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Ning Dai, Jianze Liang, Xipeng Qiu +1
cs.CLarXiv:1905.05621v32019
Comparing Code Explanations Created by Students and Large Language Models
Juho Leinonen, Paul Denny, Stephen MacNeil +5
cs.CYcs.AIcs.CLarXiv:2304.03938v12023
SpEx: Multi-Scale Time Domain Speaker Extraction Network
Chenglin Xu, Wei Rao, Eng Siong Chng +1
eess.AScs.CLcs.SDarXiv:2004.08326v12020
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation
Svetlana Kiritchenko, Saif M. Mohammad
cs.CLarXiv:1712.01765v12017
Language-Driven Representation Learning for Robotics
Siddharth Karamcheti, Suraj Nair, Annie S. Chen +4
cs.ROcs.AIcs.CLarXiv:2302.12766v12023
Conducting Stylistic Analysis of Paintings through an Art-History Agent
Marc S. Walton, Astrid Harth
cs.CVcs.AIcs.CLarXiv:2608.29644v12026
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe, Ana Marasović, Noah A. Smith
cs.CLarXiv:2010.12762v42020
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
Hyunwoo Kim, Jack Hessel, Liwei Jiang +9
cs.CLarXiv:2212.10465v32022
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye +1
cs.CLcs.AIarXiv:2212.10375v22022
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch, Peter J. Liu, Bin Yu
cs.CLcs.LGstat.MLarXiv:1801.05453v22018
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
Jun Yan, Vikas Yadav, Shiyang Li +6
cs.CLcs.CRcs.LGarXiv:2307.16888v32023
Position Information in Transformers: An Overview
Philipp Dufter, Martin Schmitt, Hinrich Schütze
cs.CLcs.AIarXiv:2102.11090v22021
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Hugo Laurençon, Lucile Saulnier, Thomas Wang +51
cs.CLcs.AIarXiv:2303.03915v12023
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Upol Ehsan, Brent Harrison, Larry Chan +1
cs.AIcs.CLcs.HCarXiv:1702.07826v22017
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
Yan Xu, Ran Jia, Lili Mou +4
cs.CLcs.LGarXiv:1601.03651v22016
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita, Rico Sennrich, Ivan Titov
cs.CLarXiv:1909.01380v12019
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
Jasmijn Bastings, Katja Filippova
cs.CLarXiv:2010.05607v12020
Recurrent Memory Transformer
Aydar Bulatov, Yuri Kuratov, Mikhail S. Burtsev
cs.CLcs.LGarXiv:2207.06881v22022
A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations
Peter D. Turney
cs.CLcs.IRcs.LGarXiv:0809.0124v12008
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
Yijun Xiao, Kyunghyun Cho
cs.CLarXiv:1602.00367v12016
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng Lyu +5
cs.CLcs.AIcs.LGarXiv:2306.05836v32023
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik, Besmira Nushi
cs.CYcs.AIcs.CLarXiv:2304.06034v12023
Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee +1
cs.CLcs.IRarXiv:2109.08535v32021
ReACC: A Retrieval-Augmented Code Completion Framework
Shuai Lu, Nan Duan, Hojae Han +3
cs.SEcs.AIcs.CLarXiv:2203.07722v12022
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
Tal Schuster, Ori Ram, Regina Barzilay +1
cs.CLcs.LGarXiv:1902.09492v22019
Chargrid: Towards Understanding 2D Documents
Anoop Raveendra Katti, Christian Reisswig, Cordula Guder +4
cs.CLcs.CVcs.LGarXiv:1809.08799v12018
Understanding World or Predicting Future? A Comprehensive Survey of World Models
Jingtao Ding, Yunke Zhang, Yu Shang +12
cs.CLcs.AIcs.LGarXiv:2411.14499v42024
Understanding Hidden Memories of Recurrent Neural Networks
Yao Ming, Shaozu Cao, Ruixiang Zhang +4
cs.CLcs.AIarXiv:1710.10777v12017
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
Wen Zhang, Bibek Paudel, Liang Wang +5
cs.AIcs.CLarXiv:1903.08948v12019
Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang, Ziyin Liu, Amir Zadeh +1
cs.LGcs.AIcs.CLarXiv:1808.03920v12018
What Happens To BERT Embeddings During Fine-tuning?
Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick +1
cs.CLarXiv:2004.14448v12020
Do LLMs exhibit human-like response biases? A case study in survey design
Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu +2
cs.CLarXiv:2311.04076v52023
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré +1
cs.CLcs.AIcs.HCarXiv:1901.05415v42019
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Wenbo Hu, Yifan Xu, Yi Li +3
cs.CVcs.AIcs.CLarXiv:2308.09936v32023
Zero-shot User Intent Detection via Capsule Neural Networks
Congying Xia, Chenwei Zhang, Xiaohui Yan +2
cs.CLcs.AIarXiv:1809.00385v12018
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Ben Bogin, Matt Gardner, Jonathan Berant
cs.CLarXiv:1905.06241v22019
Learning to Describe Differences Between Pairs of Similar Images
Harsh Jhamtani, Taylor Berg-Kirkpatrick
cs.CLcs.CVarXiv:1808.10584v12018
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Jiahui Gao, Renjie Pi, Jipeng Zhang +8
cs.CLarXiv:2312.11370v22023
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Shuo Yang, Wei-Lin Chiang, Lianmin Zheng +2
cs.CLcs.AIarXiv:2311.04850v22023

Computation and Language

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Unsupervised Evaluation of Interactive Dialog with DialoGPT

Sentiment and Sarcasm Classification with Multitask Learning

ProPILE: Probing Privacy Leakage in Large Language Models

A Review on Language Models as Knowledge Bases

FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems

aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model

Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs

On the Dimensionality of Word Embedding

Learning Joint Multilingual Sentence Representations with Neural Machine Translation

Knowledge Graph Reasoning with Relational Digraph

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System

Repeat After Me: Transformers are Better than State Space Models at Copying

Few-shot classification in Named Entity Recognition Task

Text-to-Text Pre-Training for Data-to-Text Tasks

Re-evaluating Evaluation in Text Summarization

Cross-lingual Contextualized Topic Models with Zero-shot Learning

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

Comparing Code Explanations Created by Students and Large Language Models

SpEx: Multi-Scale Time Domain Speaker Extraction Network

Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation

Language-Driven Representation Learning for Robotics

Conducting Stylistic Analysis of Paintings through an Art-History Agent

Measuring Association Between Labels and Free-Text Rationales

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection

Position Information in Transformers: An Overview

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives

The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?

Recurrent Memory Transformer

A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations

Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers

Can Large Language Models Infer Causation from Correlation?

Social Biases through the Text-to-Image Generation Lens

Simple Entity-Centric Questions Challenge Dense Retrievers

ReACC: A Retrieval-Augmented Code Completion Framework

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing

Chargrid: Towards Understanding 2D Documents

Understanding World or Predicting Future? A Comprehensive Survey of World Models

Understanding Hidden Memories of Recurrent Neural Networks

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Multimodal Language Analysis with Recurrent Multistage Fusion

What Happens To BERT Embeddings During Fine-tuning?

Do LLMs exhibit human-like response biases? A case study in survey design

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

Zero-shot User Intent Detection via Capsule Neural Networks

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

Learning to Describe Differences Between Pairs of Similar Images

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

Rethinking Benchmark and Contamination for Language Models with Rephrased Samples