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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12,841 to 12,900 of 19,390

General Agentic Planning Through Simulative Reasoning with World Models
Mingkai Deng, Jinyu Hou, Zhiting Hu +1
cs.AIcs.CLcs.LGarXiv:2507.23773v32025
CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks
Ping Yu, Jack Lanchantin, Tianlu Wang +6
cs.AIcs.CLarXiv:2507.23751v22025
WARM: On the Benefits of Weight Averaged Reward Models
Alexandre Ramé, Nino Vieillard, Léonard Hussenot +4
cs.LGcs.AIcs.CLarXiv:2401.12187v12024
CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition
Linhao Dong, Bo Xu
cs.CLcs.LGcs.NEarXiv:1905.11235v42019
Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan, Tong Wang, Caglar Gulcehre +5
cs.CLarXiv:1705.02012v22017
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Binxuan Huang, Kathleen M. Carley
cs.CLarXiv:1909.02606v12019
POP: Prefill-Only Pruning for Efficient Large Model Inference
Junhui He, Zhihui Fu, Jun Wang +1
cs.CLcs.AIcs.CVarXiv:2602.03295v22026
PaperBench: Evaluating AI's Ability to Replicate AI Research
Giulio Starace, Oliver Jaffe, Dane Sherburn +10
cs.AIcs.CLarXiv:2504.01848v32025
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
Huiyin Xue, Nafise Sadat Moosavi, Nikolaos Aletras
cs.CLcs.LGarXiv:2510.11602v12025
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
cs.CLarXiv:2211.05100v42022
Learning Private Neural Language Modeling with Attentive Aggregation
Shaoxiong Ji, Shirui Pan, Guodong Long +3
cs.CLcs.LGarXiv:1812.07108v22018
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills
Weizhi Zhang, Zechen Li, Hamid Palangi +16
cs.CLcs.AIarXiv:2606.18203v12026
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo +2
cs.CRcs.AIcs.CLarXiv:2404.16873v22024
Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Mengsong Wu, Tong Zhu, Han Han +3
cs.CLarXiv:2405.08355v12024
Smoothing the Top-k Exposure Boundary for Sparse Mixture-of-Experts
Yunkai Chai, Tong Zhu, Xiaoye Qu +4
cs.CLcs.LGarXiv:2610.11575v12026
Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization
Hao Xiang, Qiaoyu Tang, Le Yu +8
cs.CLarXiv:2606.12373v12026
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving
Yuzhe Gu, Songyang Gao, Zijian Wu +18
cs.CLcs.AIarXiv:2512.10739v32025
SpectFormer: Frequency and Attention is what you need in a Vision Transformer
Badri N. Patro, Vinay P. Namboodiri, Vijay Srinivas Agneeswaran
cs.CVcs.AIcs.CLarXiv:2304.06446v22023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao, Tao Sheng, Youlin Xiang +3
cs.IRcs.CLcs.LGarXiv:2303.14524v22023
AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification
Lingkai Kong, Zijian Wu, Yuzhe Gu +10
cs.CLarXiv:2607.11849v12026
Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch
Hyunwoo Kim, Niloofar Mireshghallah, Michael Duan +11
cs.CLcs.AIarXiv:2602.03183v12026
From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning
Chao Chen, Chengzu Li, Zhiwei Li +2
cs.CLarXiv:2606.17682v12026
The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation
Tim R. Davidson, Adam Fourney, Saleema Amershi +3
cs.AIcs.CLarXiv:2511.02687v22025
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Amir Feder, Nadav Oved, Uri Shalit +1
cs.CLcs.AIcs.LGarXiv:2005.13407v52020
Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng, Runxin Xu, Baobao Chang +1
cs.CLcs.AIcs.LGarXiv:2009.13752v12020
How To Do Things With Prompts
Kristina Šekrst, Virna Karlić
cs.CLarXiv:2609.29657v12026
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
Chengyi Wang, Sanyuan Chen, Yu Wu +10
cs.CLcs.SDeess.ASarXiv:2301.02111v12023
Pretrained Transformers Improve Out-of-Distribution Robustness
Dan Hendrycks, Xiaoyuan Liu, Eric Wallace +3
cs.CLcs.LGarXiv:2004.06100v22020
EviMap: Evidence-Grounded Hierarchical Topic Maps for Exploring Unlabeled Corpora
Zhiyin Tan, Changxu Duan
cs.IRcs.CLcs.HCarXiv:2609.06664v12026
Margins, Not Windows: Training-Free Per-Step Lossy Speculative Decoding
Oszkár Urbán, Young D. Kwon, Stylianos I. Venieris +1
cs.CLarXiv:2609.02897v12026
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Soyeong Jeong, Jinheon Baek, Sukmin Cho +2
cs.CLcs.AIarXiv:2403.14403v22024
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Angels Balaguer, Vinamra Benara, Renato Luiz de Freitas Cunha +13
cs.CLcs.LGarXiv:2401.08406v32024
MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation
Yan Li, Zezi Zeng, Yifan Yang +12
cs.CVcs.AIcs.CLarXiv:2604.15309v12026
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma, Wei Emma Zhang, Mingyu Guo +2
cs.CLcs.LGarXiv:2011.04843v32020
Counterexamples as Feedback for Agent Self-Correction
Sidhesh Badrinarayan, Adithya Parthasarathy
cs.CLcs.AIarXiv:2609.02892v12026
Adversarial Ranking for Language Generation
Kevin Lin, Dianqi Li, Xiaodong He +2
cs.CLcs.LGarXiv:1705.11001v32017
Unveiling Spectral Mechanisms in Training-Free LLM Text Detection
Haitong Luo, Xuying Meng, Weiyao Zhang +5
cs.CLarXiv:2608.25944v12026
Style Transfer Through Back-Translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov +1
cs.CLarXiv:1804.09000v32018
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Mohammad Tavakoli, Alireza Salemi, Carrie Ye +3
cs.CLcs.AIcs.IRarXiv:2510.27246v22025
TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents
Zhibo Yang, Chen Zhang, Yuewei Zhang +1
cs.AIcs.CLarXiv:2609.05079v12026
DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
Haolei Bai, Lingcheng Kong, Xueyi Chen +3
cs.LGcs.CLarXiv:2602.11715v22026
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
Kaijie Zhu, Jindong Wang, Jiaheng Zhou +8
cs.CLcs.CRcs.LGarXiv:2306.04528v52023
Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation
Jiatong Li, Junxian Li, Weida Wang +6
cs.CLarXiv:2412.14642v42024
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Zechun Liu, Changsheng Zhao, Forrest Iandola +9
cs.LGcs.AIcs.CLarXiv:2402.14905v22024
Neural Module Networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell +1
cs.CVcs.CLcs.LGarXiv:1511.02799v42015
MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments
Darshan Deshpande, Varun Gangal, Hersh Mehta +3
cs.AIcs.CLarXiv:2510.01353v12025
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model
Chin-Jou Li, Kalvin Chang, Shikhar Bharadwaj +5
cs.CLeess.ASarXiv:2510.24992v22025
Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions
Daoze Zhang, Zhijian Bao, Sihang Du +4
cs.CLcs.AIcs.LGarXiv:2505.07920v22025
LLMs Mirror Country-Specific Gender Patterns If Asked, but Skew Male When Generating Media in Local Languages
Sharif Kazemi, Tanya Popli, Neil K. R. Sehgal +7
cs.CLarXiv:2609.06545v12026
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg +1
cs.CLarXiv:2004.05887v22020
WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking
Zhengwei Tao, Haiyang Shen, Baixuan Li +11
cs.CLarXiv:2510.24697v12025
Baichuan-M1: Pushing the Medical Capability of Large Language Models
Bingning Wang, Haizhou Zhao, Huozhi Zhou +39
cs.CLarXiv:2502.12671v22025
Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
Jiaqi Tang, Jianmin Chen, Youyang Zhai +6
cs.CVcs.AIcs.CLarXiv:2606.08063v12026
Large Language Models Are Semi-Parametric Reinforcement Learning Agents
Danyang Zhang, Lu Chen, Situo Zhang +3
cs.CLcs.AIarXiv:2306.07929v22023
Efficient softmax approximation for GPUs
Edouard Grave, Armand Joulin, Moustapha Cissé +2
cs.CLcs.LGarXiv:1609.04309v32016
JudgeLRM: Large Reasoning Models as a Judge
Nuo Chen, Zhiyuan Hu, Qingyun Zou +4
cs.CLcs.AIarXiv:2504.00050v32025
Bayesian Fine-tuning Yields Language Models that are as Bayesian as their Beliefs Allow
Polina Tsvilodub, Andreas Waldis, Linlu Qiu +2
cs.CLarXiv:2610.00679v12026
Dice Loss for Data-imbalanced NLP Tasks
Xiaoya Li, Xiaofei Sun, Yuxian Meng +4
cs.CLarXiv:1911.02855v52019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Mingyang Chen, Wen Zhang, Wei Zhang +2
cs.CLstat.MLarXiv:1909.01515v12019
TIGS: An Inference Algorithm for Text Infilling with Gradient Search
Dayiheng Liu, Jie Fu, Pengfei Liu +1
cs.CLarXiv:1905.10752v12019

Computation and Language

General Agentic Planning Through Simulative Reasoning with World Models

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

WARM: On the Benefits of Weight Averaged Reward Models

CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition

Machine Comprehension by Text-to-Text Neural Question Generation

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

POP: Prefill-Only Pruning for Efficient Large Model Inference

PaperBench: Evaluating AI's Ability to Replicate AI Research

Deconstructing Attention: Investigating Design Principles for Effective Language Modeling

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Learning Private Neural Language Modeling with Attentive Aggregation

RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark

Smoothing the Top-k Exposure Boundary for Sparse Mixture-of-Experts

Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving

SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification

Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning

The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation

CausaLM: Causal Model Explanation Through Counterfactual Language Models

Double Graph Based Reasoning for Document-level Relation Extraction

How To Do Things With Prompts

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Pretrained Transformers Improve Out-of-Distribution Robustness

EviMap: Evidence-Grounded Hierarchical Topic Maps for Exploring Unlabeled Corpora

Margins, Not Windows: Training-Free Per-Step Lossy Speculative Decoding

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation

Multi-document Summarization via Deep Learning Techniques: A Survey

Counterexamples as Feedback for Agent Self-Correction

Adversarial Ranking for Language Generation

Unveiling Spectral Mechanisms in Training-Free LLM Text Detection

Style Transfer Through Back-Translation

Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs

TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Neural Module Networks

MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments

POWSM: A Phonetic Open Whisper-Style Speech Foundation Model

Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions

LLMs Mirror Country-Specific Gender Patterns If Asked, but Skew Male When Generating Media in Local Languages

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples

WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking

Baichuan-M1: Pushing the Medical Capability of Large Language Models

Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?

Large Language Models Are Semi-Parametric Reinforcement Learning Agents

Efficient softmax approximation for GPUs

JudgeLRM: Large Reasoning Models as a Judge

Bayesian Fine-tuning Yields Language Models that are as Bayesian as their Beliefs Allow

Dice Loss for Data-imbalanced NLP Tasks

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

TIGS: An Inference Algorithm for Text Infilling with Gradient Search