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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5,821 to 5,880 of 11,242

AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning
Wonjun Lee, Jaehyuk Jang, Kangwook Ko +2
cs.CVcs.CLarXiv:2608.28312v12026
Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded Images
Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara
cs.CVcs.CLarXiv:2608.28248v12026
A Formal Limitation on Learning Human Language From Textual Corpora
Emily Cheng, Ryan Cotterell
cs.CLarXiv:2608.28560v12026
Personalized Prompt Learning for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
cs.IRcs.AIcs.CLarXiv:2202.07371v22022
Ladders in Chaos: When, How, (and Perhaps Why) Does Test-Time Scaling Improve LLM Machine Translation
Di Wu, Sergey Troshin, Christof Monz +2
cs.CLarXiv:2608.28496v12026
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Hamish Ivison, Yizhong Wang, Valentina Pyatkin +8
cs.CLarXiv:2311.10702v22023
Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluation
V. S. D. S. Mahesh Akavarapu, Michael Daniel, Gerhard Jäger
cs.CLarXiv:2608.28508v12026
Uni3D: Exploring Unified 3D Representation at Scale
Junsheng Zhou, Jinsheng Wang, Baorui Ma +3
cs.CVcs.CLarXiv:2310.06773v12023
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Emily Allaway, Kathleen McKeown
cs.CLarXiv:2010.03640v12020
FinExam-10K: When Retrieval Helps Financial Reasoning?
Yan Lin, Jingyu Sun, Zhongliang Guo +3
cs.CLarXiv:2608.28155v12026
PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems
Hanglong Lv, Dawei Zhu, Lei Li +11
cs.CLarXiv:2608.28378v12026
H-Scale: Hessian-Guided Scale Refinement for NVFP4 Sub-Byte LLM Inference
Hao Yu, Zheng Li, Dayiheng Liu +1
cs.CLarXiv:2608.28113v12026
Self-Taught Convolutional Neural Networks for Short Text Clustering
Jiaming Xu, Bo Xu, Peng Wang +4
cs.IRcs.CLarXiv:1701.00185v12017
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation
Wanxiang Che, Yijia Liu, Yuxuan Wang +2
cs.CLarXiv:1807.03121v32018
MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
cs.LGcs.AIcs.CLarXiv:2004.03329v22020
A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring
Shihang Yang, Sanwoo Lee, Ningning Zhao +1
cs.CLarXiv:2608.28407v12026
CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia
Bryan Chen Zhengyu Tan, Weihua Zheng, Thong T. Doan +30
cs.CLcs.CYarXiv:2608.28405v12026
A Survey on Efficient Inference for Large Language Models
Zixuan Zhou, Xuefei Ning, Ke Hong +12
cs.CLcs.AIarXiv:2404.14294v32024
Semi-Supervised Learning for Neural Machine Translation
Yong Cheng, Wei Xu, Zhongjun He +4
cs.CLarXiv:1606.04596v32016
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
Fali Wang, Zhiwei Zhang, Xianren Zhang +11
cs.CLcs.AIcs.LGarXiv:2411.03350v22024
ClimateBert: A Pretrained Language Model for Climate-Related Text
Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler +1
cs.CLarXiv:2110.12010v32021
Exploring Length Generalization in Large Language Models
Cem Anil, Yuhuai Wu, Anders Andreassen +7
cs.CLcs.LGarXiv:2207.04901v22022
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +2
cs.CLcs.IRarXiv:1808.04122v32018
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
Jiaao Chen, Diyi Yang
cs.CLcs.AIarXiv:2310.20150v12023
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian, Zihao Xie, YiFei Wang +9
cs.AIcs.CLcs.MAarXiv:2406.07155v32024
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
Lili Mou, Yiping Song, Rui Yan +3
cs.CLcs.LGarXiv:1607.00970v22016
Unsupervised Statistical Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1809.01272v12018
Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics
Thomas Drugman, Abeer Alwan
cs.SDcs.CLeess.ASarXiv:2001.00459v12019
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
Yuri Kuratov, Aydar Bulatov, Petr Anokhin +4
cs.CLcs.AIarXiv:2406.10149v22024
Supporting Clustering with Contrastive Learning
Dejiao Zhang, Feng Nan, Xiaokai Wei +6
cs.LGcs.CLarXiv:2103.12953v22021
MultiModalQA: Complex Question Answering over Text, Tables and Images
Alon Talmor, Ori Yoran, Amnon Catav +6
cs.CLcs.AIcs.LGarXiv:2104.06039v12021
On the Sentence Embeddings from Pre-trained Language Models
Bohan Li, Hao Zhou, Junxian He +3
cs.CLcs.LGarXiv:2011.05864v12020
Challenges in Discriminating Profanity from Hate Speech
Shervin Malmasi, Marcos Zampieri
cs.CLarXiv:1803.05495v12018
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
Proving Test Set Contamination in Black Box Language Models
Yonatan Oren, Nicole Meister, Niladri Chatterji +2
cs.CLcs.LGarXiv:2310.17623v22023
In-context Examples Selection for Machine Translation
Sweta Agrawal, Chunting Zhou, Mike Lewis +2
cs.CLarXiv:2212.02437v12022
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson, Tong Zhang
stat.MLcs.CLcs.LGarXiv:1602.02373v22016
Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spots
Xujun Che, Depeng Xu, Shuhan Yuan
cs.CRcs.CLcs.LGarXiv:2608.27782v12026
LEACE: Perfect linear concept erasure in closed form
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel +3
cs.LGcs.CLcs.CYarXiv:2306.03819v42023
Direct Language Model Alignment from Online AI Feedback
Shangmin Guo, Biao Zhang, Tianlin Liu +9
cs.AIcs.CLcs.HCarXiv:2402.04792v22024
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha, Yao Mu, Yuxuan Jiang +7
cs.ROcs.AIcs.CLarXiv:2310.03026v32023
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Shansan Gong, Shivam Agarwal, Yizhe Zhang +9
cs.CLarXiv:2410.17891v32024
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation
Xueying Du, Mingwei Liu, Kaixin Wang +7
cs.CLcs.AIarXiv:2308.01861v22023
Many-Shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M. Zhang +12
cs.LGcs.AIcs.CLarXiv:2404.11018v32024
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong, Xiang Lorraine Li, Srini Iyer +8
cs.CLarXiv:2009.12756v22020
Deep learning for affective computing: text-based emotion recognition in decision support
Bernhard Kratzwald, Suzana Ilic, Mathias Kraus +2
cs.CLarXiv:1803.06397v62018
MIME: MIMicking Emotions for Empathetic Response Generation
Navonil Majumder, Pengfei Hong, Shanshan Peng +5
cs.CLarXiv:2010.01454v12020
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Xiaoxuan Wang, Ziniu Hu, Pan Lu +7
cs.CLcs.AIcs.LGarXiv:2307.10635v32023
All You Need is "Love": Evading Hate-speech Detection
Tommi Gröndahl, Luca Pajola, Mika Juuti +2
cs.CLarXiv:1808.09115v32018
Multilingual Jailbreak Challenges in Large Language Models
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan +1
cs.CLarXiv:2310.06474v32023
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
Weidi Luo, Siyuan Ma, Xiaogeng Liu +2
cs.CRcs.AIcs.CLarXiv:2404.03027v42024
Deep Residual Learning for Small-Footprint Keyword Spotting
Raphael Tang, Jimmy Lin
cs.CLarXiv:1710.10361v22017
Distributional Semantics and Linguistic Theory
Gemma Boleda
cs.CLarXiv:1905.01896v42019
Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter
Philipp Wicke, Marianna M. Bolognesi
cs.CLcs.SIarXiv:2004.06986v22020
Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents
Nan Li
cs.CLcs.LGarXiv:2608.28458v12026
Large-Scale Multi-Label Text Classification on EU Legislation
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis +1
cs.CLarXiv:1906.02192v12019
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh +2
cs.CLcs.CRcs.LGarXiv:1910.12366v32019
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
Chen Liang, Yue Yu, Haoming Jiang +4
cs.CLcs.AIcs.LGarXiv:2006.15509v12020
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
Amrith Setlur, Chirag Nagpal, Adam Fisch +6
cs.LGcs.CLarXiv:2410.08146v12024
Planning with Large Language Models for Code Generation
Shun Zhang, Zhenfang Chen, Yikang Shen +3
cs.LGcs.AIcs.CLarXiv:2303.05510v12023

Computation and Language

AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning

Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded Images

A Formal Limitation on Learning Human Language From Textual Corpora

Personalized Prompt Learning for Explainable Recommendation

Ladders in Chaos: When, How, (and Perhaps Why) Does Test-Time Scaling Improve LLM Machine Translation

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluation

Uni3D: Exploring Unified 3D Representation at Scale

Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations

FinExam-10K: When Retrieval Helps Financial Reasoning?

PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems

H-Scale: Hessian-Guided Scale Refinement for NVFP4 Sub-Byte LLM Inference

Self-Taught Convolutional Neural Networks for Short Text Clustering

Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation

MedDialog: Two Large-scale Medical Dialogue Datasets

A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring

CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia

A Survey on Efficient Inference for Large Language Models

Semi-Supervised Learning for Neural Machine Translation

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

ClimateBert: A Pretrained Language Model for Climate-Related Text

Exploring Length Generalization in Large Language Models

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Scaling Large Language Model-based Multi-Agent Collaboration

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation

Unsupervised Statistical Machine Translation

Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Supporting Clustering with Contrastive Learning

MultiModalQA: Complex Question Answering over Text, Tables and Images

On the Sentence Embeddings from Pre-trained Language Models

Challenges in Discriminating Profanity from Hate Speech

Honeybee: Locality-enhanced Projector for Multimodal LLM

Proving Test Set Contamination in Black Box Language Models

In-context Examples Selection for Machine Translation

Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings

Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spots

LEACE: Perfect linear concept erasure in closed form

Direct Language Model Alignment from Online AI Feedback

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Scaling Diffusion Language Models via Adaptation from Autoregressive Models

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

Many-Shot In-Context Learning

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Deep learning for affective computing: text-based emotion recognition in decision support

MIME: MIMicking Emotions for Empathetic Response Generation

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

All You Need is "Love": Evading Hate-speech Detection

Multilingual Jailbreak Challenges in Large Language Models

JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

Deep Residual Learning for Small-Footprint Keyword Spotting

Distributional Semantics and Linguistic Theory

Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter

Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents

Large-Scale Multi-Label Text Classification on EU Legislation

Thieves on Sesame Street! Model Extraction of BERT-based APIs

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Planning with Large Language Models for Code Generation