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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10,021 to 10,080 of 11,332

Base Models Look Human To AI Detectors
Yixuan Even Xu, Ziqian Zhong, Aditi Raghunathan +2
cs.CLcs.AIcs.LGarXiv:2605.19516v12026
CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning
Dachuan Shi, Hanlin Zhu, Xiangchi Yuan +4
cs.CLcs.AIarXiv:2605.20075v12026
Passage Re-ranking with BERT
Rodrigo Nogueira, Kyunghyun Cho
cs.IRcs.CLcs.LGarXiv:1901.04085v52019
Where Does Authorship Signal Emerge in Encoder-Based Language Models?
Francis Kulumba, Guillaume Vimont, Laurent Romary +1
cs.CLarXiv:2605.19908v22026
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
Guangzhi Xiong, Qiao Jin, Sanchit Sinha +2
cs.CVcs.AIcs.CLarXiv:2605.20158v12026
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Liang Wang, Nan Yang, Xiaolong Huang +5
cs.CLcs.IRarXiv:2212.03533v22022
LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening
Ming Zhang, Qiyuan Peng, Yinxi Wei +13
cs.CLarXiv:2605.19597v12026
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models
Juncheng Wu, Hardy Chen, Haoqin Tu +6
cs.CLcs.CVarXiv:2605.20177v12026
A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao +4
cs.CVcs.AIcs.CLarXiv:2306.13549v42023
On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He +7
cs.LGcs.CLstat.MLarXiv:2002.04745v22020
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Yushi Bai, Xin Lv, Jiajie Zhang +10
cs.CLarXiv:2308.14508v22023
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi +5
cs.LGcs.CLcs.PLarXiv:2203.13474v52022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren +19
cs.SEcs.CLarXiv:2102.04664v22021
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu +6
cs.CLcs.AIcs.LGarXiv:2305.14251v22023
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu +3
cs.CLarXiv:1905.07129v32019
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries
Mahdi Azhdari, Eric J. Gonzales
cs.CLarXiv:2605.21712v12026
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita, David Talbot, Fedor Moiseev +2
cs.CLarXiv:1905.09418v22019
RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
Zhenwei Tang, Zhaoyan Liu, Rasa Hosseinzadeh +3
cs.CLarXiv:2605.21748v12026
Reflective Prompt Tuning through Language Model Function-Calling
Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour +1
cs.CLarXiv:2605.21781v12026
How Far Will They Go? Red-Teaming Online Influence with Large Language Models
Daniel C. Ruiz, Anna Serbina, Ashwin Rao +2
cs.CLcs.AIcs.CYarXiv:2605.22880v12026
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu, Zhengdong Lu, Hang Li +1
cs.CLcs.AIcs.LGarXiv:1603.06393v32016
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
Victor Zhong, Caiming Xiong, Richard Socher
cs.CLcs.AIarXiv:1709.00103v72017
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
Xiaolong Zhou, Yifei Liu, Ziyang Gong +8
cs.CVcs.CLarXiv:2605.22536v22026
Transformer Feed-Forward Layers Are Key-Value Memories
Mor Geva, Roei Schuster, Jonathan Berant +1
cs.CLarXiv:2012.14913v22020
Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly
Aditya Chetan, Eric Cai, Peeyush Kushwaha +5
cs.CVcs.AIcs.CLarXiv:2605.21625v12026
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui, Dong Huk Park, Daylen Yang +3
cs.CVcs.AIcs.CLarXiv:1606.01847v32016
ACC: Compiling Agent Trajectories for Long-Context Training
Qisheng Su, Zhen Fang, Shiting Huang +8
cs.CLcs.AIarXiv:2605.21850v22026
TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
Hanyu Guo, Jiedong Yang, Chao Chen +3
cs.CLcs.AIcs.LGarXiv:2605.22355v12026
Understanding Data Temporality Impact on Large Language Models Pre-training
Hippolyte Pilchen, Romain Fabre, Franck Signe Talla +2
cs.CLcs.AIarXiv:2605.22769v22026
Learning Word Vectors for 157 Languages
Edouard Grave, Piotr Bojanowski, Prakhar Gupta +2
cs.CLcs.LGarXiv:1802.06893v22018
Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models
Wenlong Deng, Jiaji Huang, Kaan Ozkara +4
cs.LGcs.CLarXiv:2605.25189v12026
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu, Max Bartolo, Alastair Moore +2
cs.CLcs.AIarXiv:2104.08786v22021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem +6
cs.CLcs.AIcs.LGarXiv:2111.01243v12021
Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs
Bo Li, Tianyu Dong, Shaolin Zhu +1
cs.CLcs.AIarXiv:2605.24681v12026
Efficient Transformers: A Survey
Yi Tay, Mostafa Dehghani, Dara Bahri +1
cs.LGcs.AIcs.CLarXiv:2009.06732v32020
STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Streaming Media
Liang Xue, Haoyu Liu, Cheng Wang +3
cs.CLcs.AIarXiv:2605.25162v12026
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
Kenneth Marino, Mohammad Rastegari, Ali Farhadi +1
cs.CVcs.CLarXiv:1906.00067v22019
Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov, Quoc V. Le, Ilya Sutskever
cs.CLarXiv:1309.4168v12013
XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Guillaume Lample, Ruty Rinott +4
cs.CLcs.AIcs.LGarXiv:1809.05053v12018
Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference
Sangyun Lee, Sean McLeish, Tom Goldstein +1
cs.CLcs.AIarXiv:2605.26099v32026
Advancing Creative Physical Intelligence in Large Multimodal Models
Cheng Qian, Hyeonjeong Ha, Jiayu Liu +10
cs.AIcs.CLcs.LGarXiv:2605.26396v22026
Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents
Haoyi Hu, Qirong Lyu, Xianghan Kong +7
cs.CLcs.IRcs.MAarXiv:2605.25971v22026
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet +1
cs.CLarXiv:2005.00661v12020
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, Richard Socher
cs.CLarXiv:1705.04304v32017
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud, Trevor Cai +77
cs.CLcs.AIarXiv:2112.11446v22021
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini +4
cs.IRcs.AIcs.CLarXiv:2112.09118v42021
Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
Federico Torrielli, Peter Schneider-Kamp, Lukas Galke Poech
cs.CLcs.AIarXiv:2605.26045v22026
How Can We Know What Language Models Know?
Zhengbao Jiang, Frank F. Xu, Jun Araki +1
cs.CLcs.LGarXiv:1911.12543v22019
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan +3
cs.CLcs.AIcs.CVarXiv:2303.17580v42023
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Ji Lin, Jiaming Tang, Haotian Tang +7
cs.CLarXiv:2306.00978v62023
Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models
Yifan Jiang, Dae Yon Hwang, Jesse C. Cresswell +1
cs.CLcs.CVarXiv:2605.27311v12026
COMET: A Neural Framework for MT Evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha +1
cs.CLarXiv:2009.09025v22020
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
Yi Jing, Zao Dai, Jinwu Hu +4
cs.LGcs.AIcs.CLarXiv:2605.27354v12026
Triplet-Block Diffusion RWKV
Ke Lin, Yiyang Luo, Zhaolong Su +2
cs.CLarXiv:2605.25969v12026
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu +2
cs.CLcs.AIcs.LGarXiv:1704.04683v52017
Neural Network Acceptability Judgments
Alex Warstadt, Amanpreet Singh, Samuel R. Bowman
cs.CLarXiv:1805.12471v32018
Text Summarization with Pretrained Encoders
Yang Liu, Mirella Lapata
cs.CLcs.LGarXiv:1908.08345v22019
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang +6
cs.CLarXiv:1905.03197v32019
MobileMoE: Scaling On-Device Mixture of Experts
Yanbei Chen, Hanxian Huang, Ernie Chang +5
cs.LGcs.AIcs.CLarXiv:2605.27358v12026
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li +5
cs.IRcs.CLcs.LGarXiv:2007.00808v22020

Computation and Language

Base Models Look Human To AI Detectors

CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning

Passage Re-ranking with BERT

Where Does Authorship Signal Emerge in Encoder-Based Language Models?

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

Text Embeddings by Weakly-Supervised Contrastive Pre-training

LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening

From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models

A Survey on Multimodal Large Language Models

On Layer Normalization in the Transformer Architecture

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

ERNIE: Enhanced Language Representation with Informative Entities

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator

Reflective Prompt Tuning through Language Model Function-Calling

How Far Will They Go? Red-Teaming Online Influence with Large Language Models

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation

Transformer Feed-Forward Layers Are Key-Value Memories

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

ACC: Compiling Agent Trajectories for Long-Context Training

TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation

Understanding Data Temporality Impact on Large Language Models Pre-training

Learning Word Vectors for 157 Languages

Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs

Efficient Transformers: A Survey

STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Streaming Media

OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Exploiting Similarities among Languages for Machine Translation

XNLI: Evaluating Cross-lingual Sentence Representations

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference

Advancing Creative Physical Intelligence in Large Multimodal Models

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents

On Faithfulness and Factuality in Abstractive Summarization

A Deep Reinforced Model for Abstractive Summarization

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Unsupervised Dense Information Retrieval with Contrastive Learning

Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals

How Can We Know What Language Models Know?

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models

COMET: A Neural Framework for MT Evaluation

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Triplet-Block Diffusion RWKV

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Neural Network Acceptability Judgments

Text Summarization with Pretrained Encoders

Unified Language Model Pre-training for Natural Language Understanding and Generation

MobileMoE: Scaling On-Device Mixture of Experts

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval