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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7,801 to 7,860 of 11,237

VISA: Agentic Self-Evolving Data Synthesis for Multimodal Instruction Following
Min Zeng, Guanxin Tan, Libin Cen +5
cs.CLarXiv:2608.26013v12026
When Personality Meets Quantization: A Layer-wise MBTI Analysis of Quantized LLMs
Yao Fu, Lijia Huang, Xiaomin Li +3
cs.CLarXiv:2608.25977v12026
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach +3
cs.CLcs.AIarXiv:2404.05961v22024
Unveiling Spectral Mechanisms in Training-Free LLM Text Detection
Haitong Luo, Xuying Meng, Weiyao Zhang +5
cs.CLarXiv:2608.25944v12026
BERT: A Review of Applications in Natural Language Processing and Understanding
M. V. Koroteev
cs.CLcs.AIcs.LGarXiv:2103.11943v12021
Visual Storytelling
Ting-Hao, Huang, Francis Ferraro +13
cs.CLcs.AIcs.CVarXiv:1604.03968v12016
Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation
Pankaj Kumar, Subhankar Mishra
cs.CLcs.AIcs.IRarXiv:2608.25922v12026
Graph Retrieval-Augmented Generation: A Survey
Boci Peng, Yun Zhu, Yongchao Liu +5
cs.AIcs.CLcs.IRarXiv:2408.08921v22024
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam +5
cs.CLarXiv:2106.13822v12021
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Xizhou Zhu, Dazhi Cheng, Zheng Zhang +2
cs.CVcs.CLcs.LGarXiv:1904.05873v12019
Loss-Based Active Learning for Neural Abstractive Summarization
Michail Ioannou, Tatiana Passali, George Michalopoulos +1
cs.CLarXiv:2608.25881v12026
Anchoring Bias in LLM-as-a-Judge Systems: Prior Scores Compromise Evaluation Independence
Ante Kapetanovic, Kemal Altwlkany, Andro Mercep +2
cs.CLarXiv:2608.25869v12026
Massive Exploration of Neural Machine Translation Architectures
Denny Britz, Anna Goldie, Minh-Thang Luong +1
cs.CLarXiv:1703.03906v22017
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss
Qian Zhang, Han Lu, Hasim Sak +4
eess.AScs.CLcs.SDarXiv:2002.02562v22020
SAMpLE: A SystemC-AMS Machine LEarning-based Framework for Virtual Prototyping
Andrei Mihai Albu, Sara Vinco
cs.CLcs.LGarXiv:2608.25910v12026
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi, Osvald Nitski, Bo Wang +1
cs.CLcs.LGarXiv:2006.03659v42020
One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthography
Muge Zhang, Aaron Jencks, Krishna Badikela +2
cs.CLarXiv:2608.25904v12026
From Passive Response to Proactive Correction: Enhancing LLM Robustness Against Input Fact Perturbations
Ping Wang, Xiangguo Sun, Bingbing Xu +2
cs.CLarXiv:2608.25894v12026
Key Point Analysis Needs Structure Recovery: Task Definition, Dataset Diagnosis, and a Structure-Aware Benchmark
Zhiqiang Shi, Oana Cocarascu
cs.CLcs.LGarXiv:2608.25854v12026
Skill Issue: Are Skills Language-Invariant in LLMs?
Bobby Cheng, Adam Gaber, Zhengyuan Liu +4
cs.CLcs.AIcs.GTarXiv:2608.25832v12026
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin +3
cs.CLcs.AIcs.LGarXiv:2402.10373v32024
Unfolding Scientific Papers into Multi-Turn Generation Trajectories for Continued Pre-Training
Qiankai Xu, Qiguang Chen, Zixin Su +4
cs.CLcs.AIcs.LGarXiv:2608.25826v12026
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
Di Wu, Hongwei Wang, Wenhao Yu +3
cs.CLarXiv:2410.10813v22024
TOFU: A Task of Fictitious Unlearning for LLMs
Pratyush Maini, Zhili Feng, Avi Schwarzschild +2
cs.LGcs.CLarXiv:2401.06121v12024
Learning New Facts with QLoRA: An Acquisition-Retention Frontier
Estelle Zheng, Sébastien Warichet, Emmanuel Helbert +1
cs.CLcs.AIcs.LGarXiv:2608.25677v12026
Think-Probe-Respond: Improving Large Language Models as Judges of Research Idea Novelty
Tim Schopf, Tobias Schreieder, Akiko Aizawa
cs.CLcs.AIarXiv:2608.25660v12026
Style Transfer in Text: Exploration and Evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng +2
cs.CLarXiv:1711.06861v22017
Localize-Then-Decide Guarantees for LLM Judgments
Xinyu Li, Yi Zhou, Guanqun Cao +3
cs.CLarXiv:2608.25824v12026
MoganBert-TR: A Turkish Encoder Foundation Model Trained from Scratch with a CLM-to-MLM Curriculum
Furkan Yilmaz, Habibe Aleyna Tasdemir, Muhammed Faruk Gozay
cs.CLcs.AIarXiv:2608.25768v12026
Beam Search, Self-Consistency, and the Limits of Inference-Time Scaling for Grammar-Constrained Text-to-SQL in Small Language Models
Ty Chermsirivatana, John MacCormick
cs.CLcs.AIarXiv:2608.25761v12026
When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies
Abhinav Havaldar, Enrico Santus
cs.CLcs.AIarXiv:2608.25717v12026
Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models
Raúl Vázquez, Aman Sinha, Chuyuan Li +10
cs.CLarXiv:2608.25662v12026
Reconstructing the Right Episode: Evaluating Interleaved Conversational Memory Beyond Long Context
Zhexi Feng, Ruiyi Zhang, Yongbo Yang +1
cs.CLcs.AIarXiv:2608.25655v12026
The Chase Is the Curriculum, the Capture Anchors the Credit: Pursuit-Evasion Self-Play for Zero-Data LLM Reasoning
Jing Yu, Shengchao Chen, Yiyun Tan
cs.CLcs.LGarXiv:2608.21871v12026
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Federico Bianchi, Pratyusha Kalluri, Esin Durmus +7
cs.CLcs.CVarXiv:2211.03759v22022
Large Language Models Are Reasoning Teachers
Namgyu Ho, Laura Schmid, Se-Young Yun
cs.CLcs.AIcs.LGarXiv:2212.10071v22022
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman, Robert Ness, Amit Sharma +1
cs.AIcs.CLcs.CYarXiv:2305.00050v32023
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
Fengji Zhang, Bei Chen, Yue Zhang +6
cs.CLcs.AIcs.PLarXiv:2303.12570v32023
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Zheng Yuan, Hongyi Yuan, Chuanqi Tan +3
cs.CLarXiv:2304.05302v32023
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis, Abhik Jana, Dirk Hartung +4
cs.CLarXiv:2110.00976v42021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu, Maarten Sap, Ximing Lu +4
cs.CLarXiv:2105.03023v22021
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Ji Xin, Raphael Tang, Jaejun Lee +2
cs.CLcs.LGarXiv:2004.12993v12020
Learning to Generate Reviews and Discovering Sentiment
Alec Radford, Rafal Jozefowicz, Ilya Sutskever
cs.LGcs.CLcs.NEarXiv:1704.01444v22017
Learning Mixtures of Plackett-Luce Models for Multi-Objective Alignment
Dongyue Li, Ziniu Zhang, Lu Wang +1
cs.LGcs.AIcs.CLarXiv:2608.25200v12026
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Linhao Luo, Yuan-Fang Li, Gholamreza Haffari +1
cs.CLcs.AIarXiv:2310.01061v22023
Recurrent Neural Network Grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros +1
cs.CLcs.NEarXiv:1602.07776v42016
Conditional Total Correlation and the Serial Depth of Adaptive Parallel Sampling
Chuling Wen, Weijie Liang, Jian Lu
cs.ITcs.CLarXiv:2608.25505v12026
DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion Models
Minhae Oh, Nakyung Lee, Jungwoo Lee
cs.CLcs.AIarXiv:2608.25428v12026
GGSS: Geodesic-Gated Spherical Steering for Inference-Time Debiasing of Generative Vision-Language Models
Yiqun Sun, Junyu Chen, Pengfei Wei +1
cs.CYcs.CLcs.CVarXiv:2608.25375v12026
Hyena Hierarchy: Towards Larger Convolutional Language Models
Michael Poli, Stefano Massaroli, Eric Nguyen +6
cs.LGcs.CLarXiv:2302.10866v32023
GRIP: Granular Reward-Guided Parameter Interpolation for Efficient Reasoning
Lam So, Canhui Wu, Han Lin
cs.CLarXiv:2608.25583v12026
Adaptive Triggering for Bias Correction in LLM Reasoning
Nayoung Kim, Mickey Mancenido, Huan Liu
cs.CLcs.AIarXiv:2608.25379v12026
Abductive Commonsense Reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya +6
cs.CLarXiv:1908.05739v22019
Demystifying Reinforcement Learning Post-Training of Language Models
Donovan Clay, Saket Gollapudi, Sankar Harilal +4
cs.LGcs.AIcs.CLarXiv:2608.24949v12026
Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation
Minh Tran, Cuong Dang, Tuc Nguyen +9
cs.CRcs.CLcs.LGarXiv:2608.24977v12026
Modulating early visual processing by language
Harm de Vries, Florian Strub, Jérémie Mary +3
cs.CVcs.CLcs.LGarXiv:1707.00683v32017
Chain-of-Verification Reduces Hallucination in Large Language Models
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu +4
cs.CLcs.AIarXiv:2309.11495v22023
FinRiskAtlas: Decision-Aligned Evaluation of Large Language Models for Financial Risk Review
Suyang Zhong, Jingzhe Zhu, Qi Xu +5
cs.AIcs.CLarXiv:2608.25325v12026
Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang +2
cs.LGcs.CLstat.MLarXiv:1911.07013v12019
MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize
Jiaxin Yuan, Connor Martinez Lockhart, Xiaoyu Liu +11
cs.CLcs.AIcs.LOarXiv:2608.25449v12026

Computation and Language

VISA: Agentic Self-Evolving Data Synthesis for Multimodal Instruction Following

When Personality Meets Quantization: A Layer-wise MBTI Analysis of Quantized LLMs

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Unveiling Spectral Mechanisms in Training-Free LLM Text Detection

BERT: A Review of Applications in Natural Language Processing and Understanding

Visual Storytelling

Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation

Graph Retrieval-Augmented Generation: A Survey

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Loss-Based Active Learning for Neural Abstractive Summarization

Anchoring Bias in LLM-as-a-Judge Systems: Prior Scores Compromise Evaluation Independence

Massive Exploration of Neural Machine Translation Architectures

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

SAMpLE: A SystemC-AMS Machine LEarning-based Framework for Virtual Prototyping

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthography

From Passive Response to Proactive Correction: Enhancing LLM Robustness Against Input Fact Perturbations

Key Point Analysis Needs Structure Recovery: Task Definition, Dataset Diagnosis, and a Structure-Aware Benchmark

Skill Issue: Are Skills Language-Invariant in LLMs?

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Unfolding Scientific Papers into Multi-Turn Generation Trajectories for Continued Pre-Training

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

TOFU: A Task of Fictitious Unlearning for LLMs

Learning New Facts with QLoRA: An Acquisition-Retention Frontier

Think-Probe-Respond: Improving Large Language Models as Judges of Research Idea Novelty

Style Transfer in Text: Exploration and Evaluation

Localize-Then-Decide Guarantees for LLM Judgments

MoganBert-TR: A Turkish Encoder Foundation Model Trained from Scratch with a CLM-to-MLM Curriculum

Beam Search, Self-Consistency, and the Limits of Inference-Time Scaling for Grammar-Constrained Text-to-SQL in Small Language Models

When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies

Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models

Reconstructing the Right Episode: Evaluating Interleaved Conversational Memory Beyond Long Context

The Chase Is the Curriculum, the Capture Anchors the Credit: Pursuit-Evasion Self-Play for Zero-Data LLM Reasoning

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Large Language Models Are Reasoning Teachers

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

RRHF: Rank Responses to Align Language Models with Human Feedback without tears

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

Learning to Generate Reviews and Discovering Sentiment

Learning Mixtures of Plackett-Luce Models for Multi-Objective Alignment

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Recurrent Neural Network Grammars

Conditional Total Correlation and the Serial Depth of Adaptive Parallel Sampling

DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion Models

GGSS: Geodesic-Gated Spherical Steering for Inference-Time Debiasing of Generative Vision-Language Models

Hyena Hierarchy: Towards Larger Convolutional Language Models

GRIP: Granular Reward-Guided Parameter Interpolation for Efficient Reasoning

Adaptive Triggering for Bias Correction in LLM Reasoning

Abductive Commonsense Reasoning

Demystifying Reinforcement Learning Post-Training of Language Models

Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation

Modulating early visual processing by language

Chain-of-Verification Reduces Hallucination in Large Language Models

FinRiskAtlas: Decision-Aligned Evaluation of Large Language Models for Financial Risk Review

Understanding and Improving Layer Normalization

MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize