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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10,561 to 10,620 of 11,240

Computational Orientalism: Measuring Structural Discourse Bias in Large Language Models Using the Middle East Cultural Sensitivity Score (MECSS)
Maha Shahid
cs.CLcs.AIcs.CYarXiv:2608.18100v12026
Fractional Decay KV-Cache: Ownership-Aware Memory Management for Improved Inference Relevancy in Dialog Systems
Sukanta Ganguly
cs.CLcs.AIarXiv:2608.18098v12026
Longformer: The Long-Document Transformer
Iz Beltagy, Matthew E. Peters, Arman Cohan
cs.CLarXiv:2004.05150v22020
NE-BERT: A Multilingual Language Model for Nine Northeast Indian Languages
Badal Nyalang
cs.CLcs.AIarXiv:2608.18094v12026
Abliteration Mitigation via Refusal Aliases
Nathan Truong
cs.CLcs.AIcs.CRarXiv:2608.18093v12026
Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities
Yousef Radwan
cs.CLcs.AIarXiv:2608.18090v12026
SuTRA : Structurally-Unified Tokenization with Root Awareness
Vaibhav Rathore, Siddhant Gole, Dadhichi Telwadkar +4
cs.CLcs.AIarXiv:2608.18087v12026
Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering
Pradeep Murugesan, Luoxiao Yang, Xueli Chen +1
cs.AIcs.CLcs.MAarXiv:2608.19029v12026
Metrics That Write Themselves: Evolving an Evaluator from Its Own Blind Spots
Xing Zhang, Yanwei Cui, Guanghui Wang +2
cs.AIcs.CLcs.SEarXiv:2608.18744v12026
Can a Lightweight Multimodal Model Estimate LLM Reasoning Performance? A Study for Compute-Optimal Document Inference
Zishan Ahmad, Vishal Vaddina
cs.AIcs.CLarXiv:2608.18591v12026
Character-level Convolutional Networks for Text Classification
Xiang Zhang, Junbo Zhao, Yann LeCun
cs.LGcs.CLarXiv:1509.01626v32015
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen +28
cs.CLcs.AIcs.LGarXiv:1609.08144v22016
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang, Jason Wei, Dale Schuurmans +5
cs.CLcs.AIarXiv:2203.11171v42022
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau +1
cs.CLstat.MLarXiv:1409.1259v22014
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman +3
cs.CLcs.AIarXiv:1909.11942v62019
Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu
Toneema Zubair, Muhammad Junaid Asif, Faisal Kamiran +2
cs.AIcs.CLarXiv:2608.18142v12026
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich, Barry Haddow, Alexandra Birch
cs.CLarXiv:1508.07909v52015
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves, Abdel-rahman Mohamed, Geoffrey Hinton
cs.NEcs.CLarXiv:1303.5778v12013
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin +64
cs.CLarXiv:2204.02311v52022
Safety Alignment Illusion: The Cross-Lingual Safety Gap in LLMs
Namya Bhatnagar
cs.AIcs.CLcs.CYarXiv:2608.18131v12026
Effective Approaches to Attention-based Neural Machine Translation
Minh-Thang Luong, Hieu Pham, Christopher D. Manning
cs.CLarXiv:1508.04025v52015
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh, Julian Michael +3
cs.CLarXiv:1804.07461v32018
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal +7
cs.CLarXiv:1911.02116v22019
Measuring Massive Multitask Language Understanding
Dan Hendrycks, Collin Burns, Steven Basart +4
cs.CYcs.AIcs.CLarXiv:2009.03300v32020
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu +2
cs.CLarXiv:1904.09675v32019
VIA-SD: Verification via Intra-Model Routing for Speculative Decoding
Yuchen Xian, Yang He, Yunqiu Xu +1
cs.CLcs.AIarXiv:2606.12243v12026
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Michal Chudoba, Sergey Alyaev, Petra Galuscakova +1
cs.LGcs.AIcs.CLarXiv:2606.11854v12026
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang, Zihang Dai, Yiming Yang +3
cs.CLcs.LGarXiv:1906.08237v22019
When is Your LLM Steerable?
Chenrui Fan, Yize Cheng, Ming Li +2
cs.CLcs.LGarXiv:2606.11599v12026
Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders
Gleb Gerasimov, Timofei Rusalev, Nikita Balagansky +3
cs.LGcs.AIcs.CLarXiv:2606.12138v12026
Distributed Representations of Sentences and Documents
Quoc V. Le, Tomas Mikolov
cs.CLcs.AIcs.LGarXiv:1405.4053v22014
Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents
Yujun Zhou, Kehan Guo, Haomin Zhuang +8
cs.LGcs.CLarXiv:2606.13174v12026
Training Verifiers to Solve Math Word Problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian +9
cs.LGcs.CLarXiv:2110.14168v22021
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond +1
cs.CLarXiv:1910.01108v42019
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng +10
cs.CLcs.AIarXiv:2306.05685v42023
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu +1
cs.CVcs.AIcs.CLarXiv:2304.08485v22023
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin +1
cs.CLcs.LGarXiv:1607.04606v22016
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal +5
cs.CLcs.LGstat.MLarXiv:1910.13461v12019
Summaries:한국어
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer +4
cs.CLarXiv:1802.05365v22018
Convolutional Neural Networks for Sentence Classification
Yoon Kim
cs.CLcs.NEarXiv:1408.5882v22014
The Llama 3 Herd of Models
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +558
cs.AIcs.CLcs.CVarXiv:2407.21783v32024
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers, Iryna Gurevych
cs.CLarXiv:1908.10084v12019
Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
Christos Koutsiaris
cs.IRcs.AIcs.CLarXiv:2602.14784v12026
Auxiliary uncertainty signals for LLM-assisted systematic review screening: a benchmark across eight Cohen drug-class reviews
Arya Rahgozar, Pouria Mortezaagha
cs.CLcs.DLcs.IRarXiv:2608.14551v12026
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre +4
cs.CLcs.LGcs.NEarXiv:1406.1078v32014
Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills
Shi Liu, Jiayao Chen, Chengwei Qin +3
cs.CLarXiv:2606.11897v12026
Which Source Wins? Task-Dependent Reliance in Vision-Language Models
Rodela Ghosh, Aviral Gupta, Guangjing Wang
cs.CLcs.CVarXiv:2608.17205v12026
BengaliMCQ: Automatic Generation and Answer Prediction of Academic Multiple-Choice Questions in a Low-Resource Language
Abu Tarabin Surzo, A. K. M. Nihalul Kabir, Sm Azmain Faysal +3
cs.CLarXiv:2608.15547v12026
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen +2
cs.CLcs.LGstat.MLarXiv:1310.4546v12013
Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See
Ayoub Kirouane, Christos Petrocheilos
cs.CLcs.LGcs.ROarXiv:2608.17744v12026
HarmProfile: Characterizing Harmful Distributions in Frontier LLMs
Zhouyuan Ma, Yutao Wu, Hanxun Huang +6
cs.CLcs.AIarXiv:2608.14577v12026
Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
Wei-Chieh Huang, Weizhi Zhang, Yuchen Wu +12
cs.CLarXiv:2608.15008v12026
Building Social World Models with Large Language Models
Haofei Yu, Yining Zhao, Guanyu Lin +1
cs.SIcs.CLarXiv:2606.11482v12026
Beyond Single Object: Learning 3D Relations with Large Language Models
Kohsuke Ide, Ryousuke Yamada, Yue Qiu +4
cs.CVcs.AIcs.CLarXiv:2608.15710v12026
Do Language Models Consistently Encode the Current Year?
Suze van Adrichem, Aditi Bhaskar, Diyi Yang +2
cs.CLcs.LGarXiv:2608.15507v12026
More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts
Víctor Yeste, Paolo Rosso
cs.CLcs.AIcs.LGarXiv:2605.22641v32026
Large Language Models as Implicit Sociological Models: Reconstructing Voting Behaviour from Sociodemographic Profiles
Roman Neruda, Martin Bakoš, Josef Šlerka +3
cs.CYcs.CLcs.LGarXiv:2608.15871v12026
Polaris: Learning to Generate Table Descriptions from Retrieval Feedback
Ting Cai, Tuan Minh Phan, AnHai Doan
cs.CLcs.DBarXiv:2608.17171v12026
Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning
Yanxi Chen, Weijie Shi, Yuexiang Xie +4
cs.LGcs.AIcs.CLarXiv:2606.20002v12026
The Commercial Tax: Rent-vs-Own Blind Spots in Multi-Hop Retrieval Benchmarks
Luis M. Sanchez, Kosrow Dehnad
cs.IRcs.CLarXiv:2608.16096v12026

Computation and Language

Computational Orientalism: Measuring Structural Discourse Bias in Large Language Models Using the Middle East Cultural Sensitivity Score (MECSS)

Fractional Decay KV-Cache: Ownership-Aware Memory Management for Improved Inference Relevancy in Dialog Systems

Longformer: The Long-Document Transformer

NE-BERT: A Multilingual Language Model for Nine Northeast Indian Languages

Abliteration Mitigation via Refusal Aliases

Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities

SuTRA : Structurally-Unified Tokenization with Root Awareness

Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering

Metrics That Write Themselves: Evolving an Evaluator from Its Own Blind Spots

Can a Lightweight Multimodal Model Estimate LLM Reasoning Performance? A Study for Compute-Optimal Document Inference

Character-level Convolutional Networks for Text Classification

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Self-Consistency Improves Chain of Thought Reasoning in Language Models

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu

Neural Machine Translation of Rare Words with Subword Units

Speech Recognition with Deep Recurrent Neural Networks

PaLM: Scaling Language Modeling with Pathways

Safety Alignment Illusion: The Cross-Lingual Safety Gap in LLMs

Effective Approaches to Attention-based Neural Machine Translation

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Unsupervised Cross-lingual Representation Learning at Scale

Measuring Massive Multitask Language Understanding

BERTScore: Evaluating Text Generation with BERT

VIA-SD: Verification via Intra-Model Routing for Speculative Decoding

Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training

XLNet: Generalized Autoregressive Pretraining for Language Understanding

When is Your LLM Steerable?

Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders

Distributed Representations of Sentences and Documents

Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents

Training Verifiers to Solve Math Word Problems

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Visual Instruction Tuning

Enriching Word Vectors with Subword Information

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Deep contextualized word representations

Convolutional Neural Networks for Sentence Classification

The Llama 3 Herd of Models

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs

Auxiliary uncertainty signals for LLM-assisted systematic review screening: a benchmark across eight Cohen drug-class reviews

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills

Which Source Wins? Task-Dependent Reliance in Vision-Language Models

BengaliMCQ: Automatic Generation and Answer Prediction of Academic Multiple-Choice Questions in a Low-Resource Language

Distributed Representations of Words and Phrases and their Compositionality

Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See

HarmProfile: Characterizing Harmful Distributions in Frontier LLMs

Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents

Building Social World Models with Large Language Models

Beyond Single Object: Learning 3D Relations with Large Language Models

Do Language Models Consistently Encode the Current Year?

More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts

Large Language Models as Implicit Sociological Models: Reconstructing Voting Behaviour from Sociodemographic Profiles

Polaris: Learning to Generate Table Descriptions from Retrieval Feedback

Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning

The Commercial Tax: Rent-vs-Own Blind Spots in Multi-Hop Retrieval Benchmarks