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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7,561 to 7,620 of 11,208

AudioPaLM: A Large Language Model That Can Speak and Listen
Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen +27
cs.CLcs.AIcs.SDarXiv:2306.12925v12023
BanglaVeilGuard: Cross-Script Safety Benchmarking and Lightweight Guardrails for Bangla Large Language Models
Md. Rakibul Hassan, Muhammad Iqbal Hossain
cs.CLcs.CRarXiv:2608.21880v12026
Cognitive Architectures for Language Agents
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan +1
cs.AIcs.CLcs.LGarXiv:2309.02427v32023
The Communication Map of a Transformer
Richard Zhe Wang
cs.LGcs.CLarXiv:2608.22007v12026
Layer-wise Analysis of a Self-supervised Speech Representation Model
Ankita Pasad, Ju-Chieh Chou, Karen Livescu
cs.CLcs.LGeess.ASarXiv:2107.04734v32021
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Paul Röttger, Hannah Rose Kirk, Bertie Vidgen +3
cs.CLcs.AIarXiv:2308.01263v32023
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan +10
cs.LGcs.CLstat.MLarXiv:1806.11532v22018
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
cs.CVcs.AIcs.CLarXiv:2208.04202v22022
Polyglot: Distributed Word Representations for Multilingual NLP
Rami Al-Rfou, Bryan Perozzi, Steven Skiena
cs.CLcs.LGarXiv:1307.1662v22013
A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
Shen-Yun Miao, Chao-Chun Liang, Keh-Yih Su
cs.AIcs.CLarXiv:2106.15772v12021
Convergence in Science, Divergence in Religion: Calibrated Framing Differences Across Wikipedia's Language Editions
Hung-Hsuan Chen
cs.CLcs.CYcs.SIarXiv:2608.21821v12026
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang +4
cs.CLarXiv:2308.06463v22023
GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval
Surya Saka
cs.LGcs.AIcs.CLarXiv:2608.24936v12026
Auditing the Synthetic Memoir: Measuring Scene-Level Confabulation in LLM-Generated Autobiography Against the Documented Record of the Life It Describes
Heather Renze
cs.AIcs.CLcs.CYarXiv:2608.23640v12026
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich, Thomas Scialom, Omer Levy +1
cs.CLcs.AIcs.LGarXiv:2212.09689v12022
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Haoran Xu, Amr Sharaf, Yunmo Chen +5
cs.CLarXiv:2401.08417v42024
From Exposure to Expectation: Frequency, Surprisal, and Language Across Development in Spanish
Francisco Portillo López
cs.CLarXiv:2608.22452v12026
Structured Attention Networks
Yoon Kim, Carl Denton, Luong Hoang +1
cs.CLcs.LGcs.NEarXiv:1702.00887v32017
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Siqi Liu, Zhenhai Zhu, Ning Ye +2
cs.CVcs.CLarXiv:1612.00370v42016
Multi-Agent Cooperation and the Emergence of (Natural) Language
Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni
cs.CLcs.CVcs.GTarXiv:1612.07182v22016
Character-LLM: A Trainable Agent for Role-Playing
Yunfan Shao, Linyang Li, Junqi Dai +1
cs.CLcs.AIarXiv:2310.10158v22023
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su, Weijia Shi, Jungo Kasai +7
cs.CLarXiv:2212.09741v32022
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Zeqiu Wu, Yushi Hu, Weijia Shi +6
cs.CLarXiv:2306.01693v22023
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
Xiangru Tang, Anni Zou, Zhuosheng Zhang +5
cs.CLcs.AIarXiv:2311.10537v42023
Large Language Models in Finance: A Survey
Yinheng Li, Shaofei Wang, Han Ding +1
q-fin.GNcs.AIcs.CLarXiv:2311.10723v22023
The Stack: 3 TB of permissively licensed source code
Denis Kocetkov, Raymond Li, Loubna Ben Allal +10
cs.CLcs.AIarXiv:2211.15533v12022
Multi-step Jailbreaking Privacy Attacks on ChatGPT
Haoran Li, Dadi Guo, Wei Fan +4
cs.CLcs.CRarXiv:2304.05197v32023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
Junjie Ye, Xuanting Chen, Nuo Xu +12
cs.CLarXiv:2303.10420v22023
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar, Nora Kassner, Shauli Ravfogel +4
cs.CLarXiv:2102.01017v22021
Event Extraction by Answering (Almost) Natural Questions
Xinya Du, Claire Cardie
cs.CLarXiv:2004.13625v22020
Higher-order Coreference Resolution with Coarse-to-fine Inference
Kenton Lee, Luheng He, Luke Zettlemoyer
cs.CLarXiv:1804.05392v12018
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Neel Guha, Julian Nyarko, Daniel E. Ho +37
cs.CLcs.AIcs.CYarXiv:2308.11462v12023
A Categorical Archive of ChatGPT Failures
Ali Borji
cs.CLcs.AIcs.LGarXiv:2302.03494v82023
Pretrained Transformers Improve Out-of-Distribution Robustness
Dan Hendrycks, Xiaoyuan Liu, Eric Wallace +3
cs.CLcs.LGarXiv:2004.06100v22020
Dissecting Contextual Word Embeddings: Architecture and Representation
Matthew E. Peters, Mark Neumann, Luke Zettlemoyer +1
cs.CLarXiv:1808.08949v22018
A Survey on Model Compression for Large Language Models
Xunyu Zhu, Jian Li, Yong Liu +2
cs.CLcs.AIarXiv:2308.07633v42023
Jamba: A Hybrid Transformer-Mamba Language Model
Opher Lieber, Barak Lenz, Hofit Bata +19
cs.CLcs.LGarXiv:2403.19887v22024
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Yuxian Gu, Xu Han, Zhiyuan Liu +1
cs.CLarXiv:2109.04332v32021
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven, Hung-Yu Kao
cs.CLarXiv:1907.07355v22019
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick, Sahana Udupa, Hinrich Schütze
cs.CLarXiv:2103.00453v22021
Plan-And-Write: Towards Better Automatic Storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel +3
cs.CLarXiv:1811.05701v32018
The Evolved Transformer
David R. So, Chen Liang, Quoc V. Le
cs.LGcs.CLcs.NEarXiv:1901.11117v42019
Talking About Large Language Models
Murray Shanahan
cs.CLcs.LGarXiv:2212.03551v52022
A Computational Approach to Politeness with Application to Social Factors
Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky +2
cs.CLcs.SIphysics.soc-pharXiv:1306.6078v12013
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Sang-gil Lee, Wei Ping, Boris Ginsburg +2
cs.SDcs.CLcs.LGarXiv:2206.04658v22022
Large language models in healthcare and medical domain: A review
Zabir Al Nazi, Wei Peng
cs.CLcs.AIarXiv:2401.06775v22023
Hate Speech Dataset from a White Supremacy Forum
Ona de Gibert, Naiara Perez, Aitor García-Pablos +1
cs.CLarXiv:1809.04444v12018
Understanding the planning of LLM agents: A survey
Xu Huang, Weiwen Liu, Xiaolong Chen +6
cs.AIcs.CLcs.LGarXiv:2402.02716v12024
Self-Alignment Pretraining for Biomedical Entity Representations
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng +2
cs.CLcs.AIcs.LGarXiv:2010.11784v22020
Statistically Significant Detection of Linguistic Change
Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi +1
cs.CLcs.IRcs.LGarXiv:1411.3315v12014
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Mike Lewis, Denis Yarats, Yann N. Dauphin +2
cs.AIcs.CLarXiv:1706.05125v12017
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
Shuhuai Ren, Linli Yao, Shicheng Li +2
cs.CVcs.AIcs.CLarXiv:2312.02051v22023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
Zichang Liu, Aditya Desai, Fangshuo Liao +5
cs.LGcs.CLarXiv:2305.17118v22023
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Qiusi Zhan, Zhixiang Liang, Zifan Ying +1
cs.CLcs.CRarXiv:2403.02691v32024
Named Entity Recognition as Dependency Parsing
Juntao Yu, Bernd Bohnet, Massimo Poesio
cs.CLarXiv:2005.07150v32020
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Zhiqiang Hu, Lei Wang, Yihuai Lan +6
cs.CLarXiv:2304.01933v32023
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
Saidul Islam, Hanae Elmekki, Ahmed Elsebai +4
cs.LGcs.CLarXiv:2306.07303v12023
LinkBERT: Pretraining Language Models with Document Links
Michihiro Yasunaga, Jure Leskovec, Percy Liang
cs.CLcs.LGarXiv:2203.15827v12022
From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline
Tianle Li, Wei-Lin Chiang, Evan Frick +5
cs.LGcs.AIcs.CLarXiv:2406.11939v22024
Revisiting Few-sample BERT Fine-tuning
Tianyi Zhang, Felix Wu, Arzoo Katiyar +2
cs.CLcs.LGarXiv:2006.05987v32020

Computation and Language

AudioPaLM: A Large Language Model That Can Speak and Listen

BanglaVeilGuard: Cross-Script Safety Benchmarking and Lightweight Guardrails for Bangla Large Language Models

Cognitive Architectures for Language Agents

The Communication Map of a Transformer

Layer-wise Analysis of a Self-supervised Speech Representation Model

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

TextWorld: A Learning Environment for Text-based Games

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Polyglot: Distributed Word Representations for Multilingual NLP

A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers

Convergence in Science, Divergence in Religion: Calibrated Framing Differences Across Wikipedia's Language Editions

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval

Auditing the Synthetic Memoir: Measuring Scene-Level Confabulation in LLM-Generated Autobiography Against the Documented Record of the Life It Describes

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

From Exposure to Expectation: Frequency, Surprisal, and Language Across Development in Spanish

Structured Attention Networks

Improved Image Captioning via Policy Gradient optimization of SPIDEr

Multi-Agent Cooperation and the Emergence of (Natural) Language

Character-LLM: A Trainable Agent for Role-Playing

One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Large Language Models in Finance: A Survey

The Stack: 3 TB of permissively licensed source code

Multi-step Jailbreaking Privacy Attacks on ChatGPT

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Measuring and Improving Consistency in Pretrained Language Models

Event Extraction by Answering (Almost) Natural Questions

Higher-order Coreference Resolution with Coarse-to-fine Inference

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

A Categorical Archive of ChatGPT Failures

Pretrained Transformers Improve Out-of-Distribution Robustness

Dissecting Contextual Word Embeddings: Architecture and Representation

A Survey on Model Compression for Large Language Models

Jamba: A Hybrid Transformer-Mamba Language Model

PPT: Pre-trained Prompt Tuning for Few-shot Learning

Probing Neural Network Comprehension of Natural Language Arguments

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Plan-And-Write: Towards Better Automatic Storytelling

The Evolved Transformer

Talking About Large Language Models

A Computational Approach to Politeness with Application to Social Factors

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Large language models in healthcare and medical domain: A review

Hate Speech Dataset from a White Supremacy Forum

Understanding the planning of LLM agents: A survey

Self-Alignment Pretraining for Biomedical Entity Representations

Statistically Significant Detection of Linguistic Change

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Named Entity Recognition as Dependency Parsing

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks

LinkBERT: Pretraining Language Models with Document Links

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Revisiting Few-sample BERT Fine-tuning