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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16,921 to 16,980 of 19,016

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Feng Li, Renrui Zhang, Hao Zhang +5
cs.CVcs.CLcs.LGarXiv:2407.07895v22024
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
Saffron Huang, Esin Durmus, Miles McCain +7
cs.CLcs.AIcs.CYarXiv:2504.15236v12025
Efficient Reasoning Models: A Survey
Sicheng Feng, Gongfan Fang, Xinyin Ma +1
cs.CLcs.AIarXiv:2504.10903v22025
R-PRM: Reasoning-Driven Process Reward Modeling
Shuaijie She, Junxiao Liu, Yifeng Liu +3
cs.CLarXiv:2503.21295v12025
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
cs.CLcs.AIcs.LGarXiv:2503.04697v22025
Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Daoguang Zan, Zhirong Huang, Wei Liu +16
cs.SEcs.AIcs.CLarXiv:2504.02605v12025
LLM Inference Unveiled: Survey and Roofline Model Insights
Zhihang Yuan, Yuzhang Shang, Yang Zhou +11
cs.CLcs.AIarXiv:2402.16363v62024
Investigating Cultural Alignment of Large Language Models
Badr AlKhamissi, Muhammad ElNokrashy, Mai AlKhamissi +1
cs.CLcs.CYarXiv:2402.13231v22024
The Effect of Sampling Temperature on Problem Solving in Large Language Models
Matthew Renze, Erhan Guven
cs.CLcs.AIarXiv:2402.05201v32024
AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models
Zihao Zhu, Xinyu Wu, Gehan Hu +3
cs.AIcs.CLarXiv:2509.24269v12025
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.CLarXiv:2503.01840v32025
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.LGcs.CLarXiv:2401.15077v32024
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
Dayu Yang, Tianyang Liu, Daoan Zhang +8
cs.CLcs.AIcs.LGarXiv:2502.19411v12025
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova +5
cs.CLcs.AIcs.LGarXiv:2401.12070v32024
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
Marc Marone, Orion Weller, William Fleshman +3
cs.CLcs.IRcs.LGarXiv:2509.06888v12025
Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
Bingyu Yan, Zhibo Zhou, Litian Zhang +6
cs.MAcs.CLarXiv:2502.14321v32025
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83
cs.CLcs.AIcs.IRarXiv:2502.13595v42025
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
Weidi Luo, Siyuan Ma, Xiaogeng Liu +2
cs.CRcs.AIcs.CLarXiv:2404.03027v42024
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Mingqi Wu, Zhihao Zhang, Qiaole Dong +11
cs.LGcs.AIcs.CLarXiv:2507.10532v32025
One Token to Fool LLM-as-a-Judge
Yulai Zhao, Haolin Liu, Dian Yu +4
cs.LGcs.CLarXiv:2507.08794v32025
House of Cards: Massive Weights in LLMs
Jaehoon Oh, Seungjun Shin, Dokwan Oh
cs.LGcs.AIcs.CLarXiv:2410.01866v22024
Universal Self-Consistency for Large Language Model Generation
Xinyun Chen, Renat Aksitov, Uri Alon +7
cs.CLcs.AIarXiv:2311.17311v12023
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Zengzhi Wang, Fan Zhou, Xuefeng Li +1
cs.CLcs.AIcs.LGarXiv:2506.20512v12025
Large Language Models in Finance: A Survey
Yinheng Li, Shaofei Wang, Han Ding +1
q-fin.GNcs.AIcs.CLarXiv:2311.10723v22023
Qwen2.5-1M Technical Report
An Yang, Bowen Yu, Chengyuan Li +25
cs.CLarXiv:2501.15383v12025
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
Wei Chow, Jiageng Mao, Boyi Li +3
cs.CVcs.AIcs.CLarXiv:2501.16411v22025
Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages
Qusai Khraisha, Sophie Put, Johanna Kappenberg +2
cs.CLcs.AIcs.LGarXiv:2310.17526v22023
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
Chengzu Li, Wenshan Wu, Huanyu Zhang +5
cs.CLcs.CVcs.LGarXiv:2501.07542v12025
GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4
Tom Kocmi, Christian Federmann
cs.CLarXiv:2310.13988v12023
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh +8
cs.LGcs.CLarXiv:2504.02107v32025
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
Yunhui Xia, Wei Shen, Yan Wang +5
cs.LGcs.CLcs.SEarXiv:2504.14655v12025
Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning
Xinghao Chen, Anhao Zhao, Heming Xia +7
cs.CLarXiv:2505.16782v32025
ToRL: Scaling Tool-Integrated RL
Xuefeng Li, Haoyang Zou, Pengfei Liu
cs.CLarXiv:2503.23383v12025
Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
Chih-Kai Yang, Neo S. Ho, Hung-yi Lee
eess.AScs.AIcs.CLarXiv:2505.15957v42025
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
Lucen Zhong, Zhengxiao Du, Xiaohan Zhang +2
cs.CLarXiv:2501.10132v12025
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li +1
cs.CVcs.AIcs.CLarXiv:2310.03744v22023
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
An Yang, Beichen Zhang, Binyuan Hui +13
cs.CLcs.AIcs.LGarXiv:2409.12122v12024
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
Jinyan Su, Terry Yue Zhuo, Di Wang +1
cs.CLcs.AIarXiv:2306.05540v12023
Federated In-Context LLM Agent Learning
Panlong Wu, Kangshuo Li, Junbao Nan +1
cs.LGcs.AIcs.CLarXiv:2412.08054v12024
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
Xin Wang, Samiul Alam, Zhongwei Wan +2
cs.CLarXiv:2503.12340v12025
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
Yuntian Deng, Yejin Choi, Stuart Shieber
cs.CLcs.AIcs.LGarXiv:2405.14838v12024
PandaGPT: One Model To Instruction-Follow Them All
Yixuan Su, Tian Lan, Huayang Li +3
cs.CLcs.CVarXiv:2305.16355v12023
The False Promise of Imitating Proprietary LLMs
Arnav Gudibande, Eric Wallace, Charlie Snell +5
cs.CLarXiv:2305.15717v12023
Understanding the planning of LLM agents: A survey
Xu Huang, Weiwen Liu, Xiaolong Chen +6
cs.AIcs.CLcs.LGarXiv:2402.02716v12024
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang +5
cs.CLcs.AIcs.MAarXiv:2402.01680v22024
MAmmoTH2: Scaling Instructions from the Web
Xiang Yue, Tuney Zheng, Ge Zhang +1
cs.CLarXiv:2405.03548v42024
A Hitchhiker's Guide to Scaling Law Estimation
Leshem Choshen, Yang Zhang, Jacob Andreas
cs.LGcs.AIcs.CLarXiv:2410.11840v22024
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz +3
cs.CLcs.AIarXiv:2304.10750v22023
H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking
Martin Kuo, Jianyi Zhang, Aolin Ding +6
cs.CLarXiv:2502.12893v22025
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin +4
cs.CVcs.AIcs.CLarXiv:2405.19209v32024
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
Shiqi Chen, Tongyao Zhu, Ruochen Zhou +7
cs.CLarXiv:2503.01773v32025
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu, Xiang Li, Dongqi Cai +5
cs.CLcs.AIcs.LGarXiv:2409.15790v32024
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey +4
cs.CLarXiv:2409.12941v32024
TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval
Özay Ezerceli, Mahmoud El Hussieni, Selva Taş +4
cs.CLcs.AIcs.IRarXiv:2511.16528v12025
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi +2
cs.CLcs.AIarXiv:2502.14802v22025
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
Shrey Pandit, Jiawei Xu, Junyuan Hong +4
cs.CLcs.AIcs.LGarXiv:2502.14302v12025
Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
Haorui He, Zengqiang Shang, Chaoren Wang +11
eess.AScs.CLarXiv:2407.05361v32024
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin, Jyoti Aneja, Hany Awadalla +126
cs.CLcs.AIarXiv:2404.14219v42024
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Yukang Chen, Fuzhao Xue, Dacheng Li +15
cs.CVcs.CLarXiv:2408.10188v62024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training
Tong Zhu, Xiaoye Qu, Daize Dong +4
cs.CLarXiv:2406.16554v12024

Computation and Language

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions

Efficient Reasoning Models: A Survey

R-PRM: Reasoning-Driven Process Reward Modeling

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

LLM Inference Unveiled: Survey and Roofline Model Insights

Investigating Cultural Alignment of Large Language Models

The Effect of Sampling Temperature on Problem Solving in Large Language Models

AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models

EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning

Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems

MMTEB: Massive Multilingual Text Embedding Benchmark

JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination

One Token to Fool LLM-as-a-Judge

House of Cards: Massive Weights in LLMs

Universal Self-Consistency for Large Language Model Generation

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling

Large Language Models in Finance: A Survey

Qwen2.5-1M Technical Report

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought

GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning

ToRL: Scaling Tool-Integrated RL

Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey

ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Improved Baselines with Visual Instruction Tuning

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

Federated In-Context LLM Agent Learning

SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

PandaGPT: One Model To Instruction-Follow Them All

The False Promise of Imitating Proprietary LLMs

Understanding the planning of LLM agents: A survey

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

MAmmoTH2: Scaling Instructions from the Web

A Hitchhiker's Guide to Scaling Law Estimation

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback

H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking

VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas

Small Language Models: Survey, Measurements, and Insights

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training