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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15,301 to 15,360 of 18,947

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
Andrew Brown, Muhammad Roman, Barry Devereux
cs.DLcs.AIcs.CLarXiv:2508.06401v32025
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Trapit Bansal, David Belanger, Andrew McCallum
stat.MLcs.CLcs.LGarXiv:1609.02116v22016
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Pengrui Han, Rafal Kocielnik, Peiyang Song +4
cs.AIcs.CLcs.CYarXiv:2509.03730v22025
Self-Attention with Relative Position Representations
Peter Shaw, Jakob Uszkoreit, Ashish Vaswani
cs.CLarXiv:1803.02155v22018
Could a Large Language Model be Conscious?
David J. Chalmers
cs.AIcs.CLcs.LGarXiv:2303.07103v32023
Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning
Mena Attia, Mona Diab, Thamar Solorio
cs.CLarXiv:2608.18361v12026
Decoupling Turn-Taking from Semantics: A Decoupled Data Approach for Finite-State-Machine-Based Full-Duplex Dialogue
Yihang Li, Chenhui Chu
cs.CLarXiv:2609.03321v12026
Thinking Before Constraining: A Unified Decoding Framework for Large Language Models
Ngoc Trinh Hung Nguyen, Alonso Silva, Laith Zumot +3
cs.CLcs.AIarXiv:2601.07525v22026
Relation Extraction : A Survey
Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya
cs.CLcs.AIcs.IRarXiv:1712.05191v12017
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani +2
cs.CLcs.AIcs.LGarXiv:2205.14217v12022
SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories
Lilin Wang, Lucas Ramalho, Alan Celestino +6
cs.SEcs.AIcs.CLarXiv:2512.17419v12025
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer, John Wieting, Kevin Gimpel +1
cs.CLarXiv:1804.06059v12018
DFlash: Block Diffusion for Flash Speculative Decoding
Jian Chen, Yesheng Liang, Zhijian Liu
cs.CLarXiv:2602.06036v22026
Are Full Rollouts Necessary for On-Policy Distillation?
Yaocheng Zhang, Jiajun Chai, Yuqian Fu +7
cs.CLarXiv:2605.31490v22026
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
Yeabin Moon
cs.AIcs.CLcs.CYarXiv:2608.16956v12026
EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision
Ziyuan Jin, Yuxuan Ge, Zheng Tian
cs.AIcs.CLarXiv:2609.02133v12026
Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning
Jitao Sang, Yuhang Wang, Jing Zhang +5
cs.CLarXiv:2402.00667v12024
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation
Iacer Calixto, Qun Liu, Nick Campbell
cs.CLarXiv:1702.01287v12017
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Haobo Zheng, Tan Tang, Yan Chen +2
cs.CLcs.AIcs.IRarXiv:2609.26780v22026
Representation-Space MMD for Diffusion Language Models
Ilya Drobyshevskiy, Ilia Sudakov, Maksim Semenov +7
cs.CLcs.LGarXiv:2610.06648v12026
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
Forrest N. Iandola, Albert E. Shaw, Ravi Krishna +1
cs.CLcs.CVcs.LGarXiv:2006.11316v12020
FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation
Lu Han, Jingyao Zhang, Katy Ilonka Gero +1
cs.CLarXiv:2609.30968v12026
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
Tianyi Zhou, Dongrui Liu, Leitao Yuan +2
cs.AIcs.CLcs.LGarXiv:2605.31264v12026
Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
Jinyuan Zhang, Peng He, He Hu +2
cs.LGcs.AIcs.CLarXiv:2609.00064v12026
ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Jungwoo Oh, Hyunseung Chung, Junhee Lee +6
cs.LGcs.AIcs.CLarXiv:2603.14326v12026
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +1
cs.IRcs.AIcs.CLarXiv:2102.07662v12021
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li +1
cs.CLcs.AIarXiv:2210.03493v12022
ConvMem: Convolutional Memory for Long-Context Reasoning
Hongming Zhang, Zhaozhen Gu, Fengshuo Bai +6
cs.AIcs.CLarXiv:2609.10441v12026
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Erik Thureck
cs.CLcs.AIcs.LGarXiv:2608.21462v12026
EVA-02: A Visual Representation for Neon Genesis
Yuxin Fang, Quan Sun, Xinggang Wang +3
cs.CVcs.CLarXiv:2303.11331v22023
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Costas Mavromatis, George Karypis
cs.CLcs.AIcs.LGarXiv:2405.20139v12024
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Wanghan Xu, Yuhao Zhou, Yifan Zhou +104
cs.AIcs.CLcs.LGarXiv:2512.16969v12025
CARRE: Counterfactual Action Retrieval and Reason Evaluation for Explainable Churn Prescription
MinJoo Kim, SanJin Park, SeungHwan Cho
cs.CLarXiv:2609.09766v12026
Where Should a Document Live: Context, Representations, or Parameters?
Nathanaël Carraz Rakotonirina, Momchil Hardalov, Gonzalo Iglesias +1
cs.CLcs.AIarXiv:2609.17346v12026
On-Policy Context Distillation for Language Models
Tianzhu Ye, Li Dong, Xun Wu +2
cs.CLarXiv:2602.12275v22026
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
User Preference-aware Fake News Detection
Yingtong Dou, Kai Shu, Congying Xia +2
cs.SIcs.CLarXiv:2104.12259v12021
Implicit Chain of Thought Reasoning via Knowledge Distillation
Yuntian Deng, Kiran Prasad, Roland Fernandez +3
cs.CLcs.AIcs.LGarXiv:2311.01460v12023
Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs
Yunhao Chen, Xin Wang, Juncheng Li +5
cs.CLcs.CRarXiv:2511.12710v22025
FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory
Lei Wei, Xiao Peng, Xu Dong +2
cs.AIcs.CLarXiv:2601.18642v22026
Can Large Language Model Agents Simulate Human Trust Behavior?
Chengxing Xie, Canyu Chen, Feiran Jia +11
cs.AIcs.CLcs.HCarXiv:2402.04559v42024
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
Zeping Yu, Yonatan Belinkov, Sophia Ananiadou
cs.CLarXiv:2502.10835v12025
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy +1
cs.CLarXiv:1506.01066v22015
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
Yang Zhang, Amr Mohamed, Hadi Abdine +2
cs.CLcs.AIarXiv:2506.11300v22025
Dual Learning for Machine Translation
Yingce Xia, Di He, Tao Qin +4
cs.CLarXiv:1611.00179v12016
Improving Neural Question Generation using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin +1
cs.CLcs.AIcs.NEarXiv:1809.02393v22018
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
Shuang Wu, Xiaoning Song, Zhenhua Feng
cs.CLcs.AIarXiv:2107.05418v12021
When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
Heecheol Yun, Kwangmin Ki, Junghyun Lee +1
cs.CLcs.AIarXiv:2510.15346v22025
Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images
A. Said Gurbuz, Ahmed Nassar, Christoph Auer +8
cs.CVcs.CLarXiv:2608.20868v12026
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
Luca Soldaini, Rodney Kinney, Akshita Bhagia +33
cs.CLarXiv:2402.00159v22024
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
Kaituo Feng, Changsheng Li, Xiaolu Zhang +3
cs.CLarXiv:2405.16064v12024
Parameter-Efficient Retrievers for Polish and European Languages
Sławomir Dadas, Rafał Poświata, Małgorzata Grębowiec +1
cs.CLarXiv:2609.12913v22026
Jasper: An End-to-End Convolutional Neural Acoustic Model
Jason Li, Vitaly Lavrukhin, Boris Ginsburg +5
eess.AScs.CLcs.LGarXiv:1904.03288v32019
In-Place Test-Time Training
Guhao Feng, Shengjie Luo, Kai Hua +4
cs.LGcs.AIcs.CLarXiv:2604.06169v12026
LipNet: End-to-End Sentence-level Lipreading
Yannis M. Assael, Brendan Shillingford, Shimon Whiteson +1
cs.LGcs.CLcs.CVarXiv:1611.01599v22016
A Survey of On-Policy Distillation for Large Language Models
Mingyang Song, Mao Zheng
cs.LGcs.CLarXiv:2604.00626v42026
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
Qianhao Yuan, Jie Lou, Xing Yu +4
cs.CVcs.AIcs.CLarXiv:2605.18740v42026
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang, Kaijie Chen, Guancheng Wan +5
cs.LGcs.CLcs.MAarXiv:2502.07373v12025
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
Wenhu Chen, Hexiang Hu, Xi Chen +2
cs.CLcs.AIcs.CVarXiv:2210.02928v22022
AI agents reshape consensus formation in human groups
Lin Chen, Ziyi Liu, Xia Hu +1
cs.CLcs.CYcs.SIarXiv:2609.02122v12026

Computation and Language

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

Ask the GRU: Multi-Task Learning for Deep Text Recommendations

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs

Self-Attention with Relative Position Representations

Could a Large Language Model be Conscious?

Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning

Decoupling Turn-Taking from Semantics: A Decoupled Data Approach for Finite-State-Machine-Based Full-Duplex Dialogue

Thinking Before Constraining: A Unified Decoding Framework for Large Language Models

Relation Extraction : A Survey

Diffusion-LM Improves Controllable Text Generation

SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

DFlash: Block Diffusion for Flash Speculative Decoding

Are Full Rollouts Necessary for On-Policy Distillation?

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision

Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning

Doubly-Attentive Decoder for Multi-modal Neural Machine Translation

SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue

Representation-Space MMD for Diffusion Language Models

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation

COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning

ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation

Overview of the TREC 2020 deep learning track

Automatic Chain of Thought Prompting in Large Language Models

ConvMem: Convolutional Memory for Long-Context Reasoning

CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance

EVA-02: A Visual Representation for Neon Genesis

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

CARRE: Counterfactual Action Retrieval and Reason Evaluation for Explainable Churn Prescription

Where Should a Document Live: Context, Representations, or Parameters?

On-Policy Context Distillation for Language Models

Honeybee: Locality-enhanced Projector for Multimodal LLM

User Preference-aware Fake News Detection

Implicit Chain of Thought Reasoning via Knowledge Distillation

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs

FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory

Can Large Language Model Agents Simulate Human Trust Behavior?

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Visualizing and Understanding Neural Models in NLP

Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning

Dual Learning for Machine Translation

Improving Neural Question Generation using Answer Separation

MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition

When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling

Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Keypoint-based Progressive Chain-of-Thought Distillation for LLMs

Parameter-Efficient Retrievers for Polish and European Languages

Jasper: An End-to-End Convolutional Neural Acoustic Model

In-Place Test-Time Training

LipNet: End-to-End Sentence-level Lipreading

A Survey of On-Policy Distillation for Large Language Models

Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation

EvoFlow: Evolving Diverse Agentic Workflows On The Fly

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

AI agents reshape consensus formation in human groups