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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6,301 to 6,360 of 11,299

L-Eval: Instituting Standardized Evaluation for Long Context Language Models
Chenxin An, Shansan Gong, Ming Zhong +5
cs.CLarXiv:2307.11088v32023
Query-Key Normalization for Transformers
Alex Henry, Prudhvi Raj Dachapally, Shubham Pawar +1
cs.CLcs.AIcs.LGarXiv:2010.04245v12020
Data Contamination: From Memorization to Exploitation
Inbal Magar, Roy Schwartz
cs.CLcs.LGarXiv:2203.08242v12022
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
Xingwei He, Zhenghao Lin, Yeyun Gong +7
cs.CLarXiv:2303.16854v22023
The Microsoft 2016 Conversational Speech Recognition System
W. Xiong, J. Droppo, X. Huang +5
cs.CLeess.ASarXiv:1609.03528v22016
Art or Artifice? Large Language Models and the False Promise of Creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal +2
cs.CLcs.AIcs.HCarXiv:2309.14556v32023
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin Su, Liang Wang +5
cs.CLcs.AIcs.LGarXiv:2402.09906v32024
Fine-tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao +2
cs.CLcs.AIcs.LGarXiv:2311.08401v12023
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng, Ge Zhang, Tianhao Shen +5
cs.SEcs.AIcs.CLarXiv:2402.14658v32024
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
Sebastian Ruder, Parsa Ghaffari, John G. Breslin
cs.CLcs.LGarXiv:1609.02745v12016
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo, Dongju Park, Jaewook Kang +2
cs.CLcs.AIarXiv:2104.08826v22021
Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
Haorui He, Zengqiang Shang, Chaoren Wang +11
eess.AScs.CLarXiv:2407.05361v32024
Deliberative Alignment: Reasoning Enables Safer Language Models
Melody Y. Guan, Manas Joglekar, Eric Wallace +12
cs.CLcs.AIcs.CYarXiv:2412.16339v22024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu, Fengqing Jiang, Luyao Niu +3
cs.CRcs.AIcs.CLarXiv:2402.08983v42024
FinanceBench: A New Benchmark for Financial Question Answering
Pranab Islam, Anand Kannappan, Douwe Kiela +3
cs.CLcs.AIcs.CEarXiv:2311.11944v12023
Star-Transformer
Qipeng Guo, Xipeng Qiu, Pengfei Liu +3
cs.CLarXiv:1902.09113v32019
Probing Pretrained Language Models for Lexical Semantics
Ivan Vulić, Edoardo Maria Ponti, Robert Litschko +2
cs.CLarXiv:2010.05731v12020
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach +3
cs.CVcs.CLarXiv:1511.05284v22015
Societal Biases in Language Generation: Progress and Challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan +1
cs.CLarXiv:2105.04054v32021
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran, Peter J. Liu, Quoc V. Le
cs.CLcs.LGcs.NEarXiv:1611.02683v22016
Multilingual Speech Recognition With A Single End-To-End Model
Shubham Toshniwal, Tara N. Sainath, Ron J. Weiss +4
eess.AScs.AIcs.CLarXiv:1711.01694v22017
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
Tongxin Yuan, Zhiwei He, Lingzhong Dong +9
cs.CLcs.AIarXiv:2401.10019v32024
Tensor Graph Convolutional Networks for Text Classification
Xien Liu, Xinxin You, Xiao Zhang +2
cs.CLcs.IRcs.LGarXiv:2001.05313v12020
TransNets: Learning to Transform for Recommendation
Rose Catherine, William Cohen
cs.IRcs.CLcs.LGarXiv:1704.02298v22017
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1509.00838v22015
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao +15
cs.CLcs.AIcs.LGarXiv:2302.13007v32023
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang +5
cs.CLcs.AIcs.CVarXiv:1505.01809v32015
Analyzing Uncertainty in Neural Machine Translation
Myle Ott, Michael Auli, David Grangier +1
cs.CLarXiv:1803.00047v42018
Information-Theoretic Probing for Linguistic Structure
Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay +3
cs.CLcs.LGarXiv:2004.03061v22020
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen +2
cs.CLarXiv:2007.11464v22020
Video Understanding with Large Language Models: A Survey
Yolo Y. Tang, Jing Bi, Siting Xu +17
cs.CVcs.CLarXiv:2312.17432v82023
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao +1
cs.CLarXiv:2303.15647v22023
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Taicheng Guo, Kehan Guo, Bozhao Nan +5
cs.CLcs.AIarXiv:2305.18365v32023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang, Lei Li, Damai Dai +5
cs.CLcs.LGarXiv:2305.14160v42023
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding
Ziang Xiao, Xingdi Yuan, Q. Vera Liao +2
cs.CLcs.AIcs.HCarXiv:2304.10548v12023
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
Joel Jang, Seungone Kim, Bill Yuchen Lin +6
cs.CLarXiv:2310.11564v12023
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases
Wei Guo, Aylin Caliskan
cs.CYcs.AIcs.CLarXiv:2006.03955v52020
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Tal Schuster, Adam Fisch, Regina Barzilay
cs.CLcs.IRcs.LGarXiv:2103.08541v12021
Function Vectors in Large Language Models
Eric Todd, Millicent L. Li, Arnab Sen Sharma +3
cs.CLcs.LGarXiv:2310.15213v22023
Towards Debiasing Sentence Representations
Paul Pu Liang, Irene Mengze Li, Emily Zheng +3
cs.CLcs.LGarXiv:2007.08100v12020
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions
Licheng Yu, Hao Tan, Mohit Bansal +1
cs.CVcs.AIcs.CLarXiv:1612.09542v22016
Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier
Lopamudra Dey, Sanjay Chakraborty, Anuraag Biswas +2
cs.IRcs.CLarXiv:1610.09982v12016
Active Example Selection for In-Context Learning
Yiming Zhang, Shi Feng, Chenhao Tan
cs.CLcs.AIarXiv:2211.04486v12022
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas +1
cs.CLarXiv:1809.01576v22018
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Daocheng Fu, Xin Li, Licheng Wen +4
cs.ROcs.CLarXiv:2307.07162v12023
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Liangming Pan, Michael Saxon, Wenda Xu +3
cs.CLcs.AIcs.LGarXiv:2308.03188v22023
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Shah, H. Andrew Schwartz, Dirk Hovy
cs.CLcs.AIcs.LGarXiv:1912.11078v22019
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Enneng Yang, Li Shen, Guibing Guo +4
cs.LGcs.AIcs.CLarXiv:2408.07666v52024
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang, Denny Zhou
cs.CLarXiv:2402.10200v22024
Explicit Knowledge-based Reasoning for Visual Question Answering
Peng Wang, Qi Wu, Chunhua Shen +2
cs.CVcs.CLarXiv:1511.02570v22015
Do Large Language Models Know What They Don't Know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo +3
cs.CLarXiv:2305.18153v22023
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
Hao Tian, Can Gao, Xinyan Xiao +5
cs.CLarXiv:2005.05635v22020
GSum: A General Framework for Guided Neural Abstractive Summarization
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi +2
cs.CLarXiv:2010.08014v32020
Scene Text Recognition with Permuted Autoregressive Sequence Models
Darwin Bautista, Rowel Atienza
cs.CVcs.CLarXiv:2207.06966v12022
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Pouya Pezeshkpour, Estevam Hruschka
cs.CLcs.AIcs.LGarXiv:2308.11483v12023
A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu, Rui Wang
cs.CLcs.AIcs.LGarXiv:1806.00258v12018
A Long Way to Go: Investigating Length Correlations in RLHF
Prasann Singhal, Tanya Goyal, Jiacheng Xu +1
cs.CLcs.LGarXiv:2310.03716v22023
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
Liang Wang, Wei Zhao, Zhuoyu Wei +1
cs.CLarXiv:2203.02167v12022
RADAR: Robust AI-Text Detection via Adversarial Learning
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
cs.CLcs.AIcs.LGarXiv:2307.03838v22023
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Hanrui Wang, Zhanghao Wu, Zhijian Liu +4
cs.CLcs.LGcs.NEarXiv:2005.14187v12020

Computation and Language

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Query-Key Normalization for Transformers

Data Contamination: From Memorization to Exploitation

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

The Microsoft 2016 Conversational Speech Recognition System

Art or Artifice? Large Language Models and the False Promise of Creativity

Generative Representational Instruction Tuning

Fine-tuning Language Models for Factuality

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Deliberative Alignment: Reasoning Enables Safer Language Models

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

FinanceBench: A New Benchmark for Financial Question Answering

Star-Transformer

Probing Pretrained Language Models for Lexical Semantics

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

Societal Biases in Language Generation: Progress and Challenges

Unsupervised Pretraining for Sequence to Sequence Learning

Multilingual Speech Recognition With A Single End-To-End Model

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

Tensor Graph Convolutional Networks for Text Classification

TransNets: Learning to Transform for Recommendation

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

AugGPT: Leveraging ChatGPT for Text Data Augmentation

Language Models for Image Captioning: The Quirks and What Works

Analyzing Uncertainty in Neural Machine Translation

Information-Theoretic Probing for Linguistic Structure

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Video Understanding with Large Language Models: A Survey

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

Function Vectors in Large Language Models

Towards Debiasing Sentence Representations

A Joint Speaker-Listener-Reinforcer Model for Referring Expressions

Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier

Active Example Selection for In-Context Learning

Document-Level Neural Machine Translation with Hierarchical Attention Networks

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Chain-of-Thought Reasoning Without Prompting

Explicit Knowledge-based Reasoning for Visual Question Answering

Do Large Language Models Know What They Don't Know?

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

GSum: A General Framework for Guided Neural Abstractive Summarization

Scene Text Recognition with Permuted Autoregressive Sequence Models

Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

A Survey of Domain Adaptation for Neural Machine Translation

A Long Way to Go: Investigating Length Correlations in RLHF

SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

RADAR: Robust AI-Text Detection via Adversarial Learning

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing