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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18,241 to 18,300 of 18,928

Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis
Scott Friedman, Sonja Schmer-Galunder, Anthony Chen +1
cs.CLarXiv:2601.17203v12026
ChatGPT: Vision and Challenges
Sukhpal Singh Gill, Rupinder Kaur
cs.CYcs.CLarXiv:2305.15323v12023
LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMs
Umesh Bodhwani, Yuan Ling, Cibi Chakravarthy Senthilkumar +4
cs.CLarXiv:2609.04511v12026
Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues
Alexander Scarlatos, Naiming Liu, Jaewook Lee +2
cs.CLcs.CYarXiv:2503.06424v22025
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations
Yuhan Ji, Song Gao, Ying Nie +2
cs.CLcs.AIarXiv:2505.17136v12025
Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena +2
cs.CLcs.AIcs.LGarXiv:1909.10705v12019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl +5
cs.CLcs.CRcs.LGarXiv:1909.01492v22019
A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang +57
cs.CLcs.AIarXiv:2602.06052v42026
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
Kuicai Dong, Yujing Chang, Xin Deik Goh +3
cs.IRcs.AIcs.CLarXiv:2501.08828v32025
Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
Menglong Cui, Pengzhi Gao, Wei Liu +2
cs.CLarXiv:2502.02481v42025
Combining Recurrent and Convolutional Neural Networks for Relation Classification
Ngoc Thang Vu, Heike Adel, Pankaj Gupta +1
cs.CLarXiv:1605.07333v12016
Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics
Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu +2
cs.CLcs.SDeess.ASarXiv:2503.01174v12025
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
Yijia Shao, Yucheng Jiang, Theodore A. Kanell +3
cs.CLcs.AIarXiv:2402.14207v22024
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis +6
cs.IRcs.CLcs.LGarXiv:1503.08581v12015
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Zihan Qiu, Zeyu Huang, Bo Zheng +7
cs.LGcs.CLarXiv:2501.11873v22025
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Yikang Shen, Zhouhan Lin, Chin-Wei Huang +1
cs.CLcs.AIarXiv:1711.02013v22017
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen, Alexander Rudnicky
eess.AScs.CLcs.LGarXiv:2110.06309v32021
Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion
Nikolaos Livathinos, Christoph Auer, Maksym Lysak +14
cs.CLcs.CVcs.SEarXiv:2501.17887v12025
From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education
Gokhan Dogru, Adrià Martín Mor
cs.CLarXiv:2609.00344v12026
Are Language Models Models?
Philip Resnik
cs.CLcs.AIarXiv:2601.10421v12026
1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training
Han Zhao, Haotian Wang, Yiping Peng +5
cs.CLarXiv:2503.19633v12025
Thinking with Generated Images
Ethan Chern, Zhulin Hu, Steffi Chern +5
cs.CVcs.AIcs.CLarXiv:2505.22525v12025
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5
cs.DCcs.AIcs.CLarXiv:2509.07506v22025
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.CVcs.AIcs.CLarXiv:2503.04812v22025
Getting pwn'd by AI: Penetration Testing with Large Language Models
Andreas Happe, Jürgen Cito
cs.CLcs.AIcs.CRarXiv:2308.00121v32023
Are Reasoning Models More Prone to Hallucination?
Zijun Yao, Yantao Liu, Yanxu Chen +5
cs.CLcs.LGarXiv:2505.23646v12025
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung, James Glass
eess.AScs.CLcs.LGarXiv:1910.12607v22019
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
Xirong Li, Chaoxi Xu, Xiaoxu Wang +4
cs.CLcs.CVarXiv:1805.08661v22018
The University of Edinburgh's Neural MT Systems for WMT17
Rico Sennrich, Alexandra Birch, Anna Currey +5
cs.CLarXiv:1708.00726v12017
Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis
Zhiyuan Cheng, Longying Lai, Yue Liu +2
cs.CLarXiv:2603.16877v22026
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion
Disong Wang, Liqun Deng, Yu Ting Yeung +3
eess.AScs.CLcs.MMarXiv:2106.10132v12021
AVERT: Audio-Verified Adjudication for Spoken Dialogue State Tracking
Chunggi Lee, Hanspeter Pfister
cs.CLarXiv:2609.01828v12026
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations
Betty van Aken, Benjamin Winter, Alexander Löser +1
cs.CLcs.IRarXiv:1909.04925v12019
The politics of postmortem privacy
Mauricio Figueroa
cs.CYcs.CLcs.SIarXiv:2608.16905v12026
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Saaket Agashe, Jiuzhou Han, Shuyu Gan +3
cs.AIcs.CLcs.CVarXiv:2410.08164v12024
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
Jane Pan, Tianyu Gao, Howard Chen +1
cs.CLcs.LGarXiv:2305.09731v12023
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
Zirui Song, Bin Yan, Yuhan Liu +4
cs.CLarXiv:2502.10708v22025
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng +1
cs.CLcs.AIcs.LGarXiv:2310.06694v22023
Large Language Models and Games: A Survey and Roadmap
Roberto Gallotta, Graham Todd, Marvin Zammit +4
cs.CLcs.AIcs.HCarXiv:2402.18659v52024
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel +1
cs.CLarXiv:1909.06694v12019
EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities
Feitong Qiao, Liren Peng, Shiming Ren +7
cs.CLcs.AIcs.CRarXiv:2609.00487v12026
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Han Wu, Yuxuan Yao, Shuqi Liu +7
cs.CLarXiv:2503.20641v22025
Learning to Remember Translation History with a Continuous Cache
Zhaopeng Tu, Yang Liu, Shuming Shi +1
cs.CLarXiv:1711.09367v12017
A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review
Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor +12
cs.CLcs.AIarXiv:2405.02559v22024
A Reasoning-Focused Legal Retrieval Benchmark
Lucia Zheng, Neel Guha, Javokhir Arifov +5
cs.CLarXiv:2505.03970v12025
Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks
Yauhen Babakhin, Radek Osmulski, Ronay Ak +5
cs.CLcs.IRarXiv:2511.07025v12025
Ethical Challenges in Data-Driven Dialogue Systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier +4
cs.CLarXiv:1711.09050v12017
SMART: Self-Aware Agent for Tool Overuse Mitigation
Cheng Qian, Emre Can Acikgoz, Hongru Wang +5
cs.AIcs.CLcs.LGarXiv:2502.11435v22025
Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
Yuerong Song, Xiaoran Liu, Ruixiao Li +5
cs.CLarXiv:2508.02558v22025
Location-Aware Language Models via Secondary Embeddings
Gokul Srinivasagan, Munir Georges
cs.CLarXiv:2609.00454v12026
SCORE: Story Coherence and Retrieval Enhancement for AI Narratives
Qiang Yi, Yangfan He, Jianhui Wang +18
cs.CLarXiv:2503.23512v62025
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
Tianshi Zheng, Zheye Deng, Hong Ting Tsang +4
cs.CLarXiv:2505.13259v32025
Character-Level Question Answering with Attention
David Golub, Xiaodong He
cs.CLcs.AIcs.LGarXiv:1604.00727v42016
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Quy-Anh Dang, Chris Ngo
cs.LGcs.CLarXiv:2503.16219v22025
ART: Automatic multi-step reasoning and tool-use for large language models
Bhargavi Paranjape, Scott Lundberg, Sameer Singh +3
cs.CLarXiv:2303.09014v12023
CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language
Qi Fan, An Zou, Yehan Ma
cs.CLcs.AIcs.MAarXiv:2609.00058v12026
MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs
Erik Daxberger, Nina Wenzel, David Griffiths +8
cs.CVcs.CLcs.LGarXiv:2503.13111v22025
A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions
Shailja Gupta, Rajesh Ranjan, Surya Narayan Singh
cs.CLcs.AIcs.IRarXiv:2410.12837v12024
Attention Strategies for Multi-Source Sequence-to-Sequence Learning
Jindřich Libovický, Jindřich Helcl
cs.CLcs.NEarXiv:1704.06567v12017
Factual Error Correction for Abstractive Summarization Models
Meng Cao, Yue Dong, Jiapeng Wu +1
cs.CLcs.AIarXiv:2010.08712v22020

Computation and Language

Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis

ChatGPT: Vision and Challenges

LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMs

Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations

Do Massively Pretrained Language Models Make Better Storytellers?

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study

Combining Recurrent and Convolutional Neural Networks for Relation Classification

Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models

LSHTC: A Benchmark for Large-Scale Text Classification

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Neural Language Modeling by Jointly Learning Syntax and Lexicon

Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion

From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education

Are Language Models Models?

1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training

Thinking with Generated Images

Astra: A Multi-Agent System for GPU Kernel Performance Optimization

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning

Getting pwn'd by AI: Penetration Testing with Large Language Models

Are Reasoning Models More Prone to Hallucination?

Generative Pre-Training for Speech with Autoregressive Predictive Coding

COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval

The University of Edinburgh's Neural MT Systems for WMT17

Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis

VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

AVERT: Audio-Verified Adjudication for Spoken Dialogue State Tracking

How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations

The politics of postmortem privacy

Agent S: An Open Agentic Framework that Uses Computers Like a Human

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Large Language Models and Games: A Survey and Roadmap

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Learning to Remember Translation History with a Continuous Cache

A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review

A Reasoning-Focused Legal Retrieval Benchmark

Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks

Ethical Challenges in Data-Driven Dialogue Systems

SMART: Self-Aware Agent for Tool Overuse Mitigation

Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction

Location-Aware Language Models via Secondary Embeddings

SCORE: Story Coherence and Retrieval Enhancement for AI Narratives

From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery

Character-Level Question Answering with Attention

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

ART: Automatic multi-step reasoning and tool-use for large language models

CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language

MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs

A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Attention Strategies for Multi-Source Sequence-to-Sequence Learning

Factual Error Correction for Abstractive Summarization Models