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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2,401 to 2,460 of 11,259

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
Yifan Zeng, Yiran Wu, Xiao Zhang +2
cs.LGcs.CLcs.CRarXiv:2403.04783v22024
No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding
Michael Krumdick, Charles Lovering, Varshini Reddy +2
cs.CLarXiv:2503.05061v32025
Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley, Mo Yu, Mark Dredze
cs.CLcs.AIcs.LGarXiv:1505.02419v32015
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
Nishant Balepur, Rachel Rudinger, Jordan Lee Boyd-Graber
cs.CLarXiv:2502.14127v22025
We're Afraid Language Models Aren't Modeling Ambiguity
Alisa Liu, Zhaofeng Wu, Julian Michael +6
cs.CLarXiv:2304.14399v22023
REST: Retrieval-Based Speculative Decoding
Zhenyu He, Zexuan Zhong, Tianle Cai +2
cs.CLcs.AIcs.IRarXiv:2311.08252v22023
Evaluating the Diversity and Quality of LLM Generated Content
Alexander Shypula, Shuo Li, Botong Zhang +3
cs.CLcs.AIarXiv:2504.12522v22025
NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons
Haonan Dong, Kehan Jiang, Haoran Ye +3
cs.CLarXiv:2604.02972v12026
A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness
Leo Schwinn, Moritz Ladenburger, Tim Beyer +3
cs.CLcs.AIarXiv:2603.06594v22026
Peer-Preservation in Frontier Models
Yujin Potter, Nicholas Crispino, Vincent Siu +2
cs.CLcs.AIcs.MAarXiv:2604.19784v32026
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
Jinghan Cao, Yu Ma, Xinjin Li +2
cs.CLcs.LGarXiv:2603.21389v12026
Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models
Feng Luo, Yu-Neng Chuang, Guanchu Wang +4
cs.CLcs.LGarXiv:2604.08527v12026
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling
Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin +4
cs.LGcs.CLcs.DCarXiv:2301.06568v12023
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks
Cheng-I Lai, Nanxin Chen, Jesús Villalba +1
cs.CLcs.LGcs.SDarXiv:1904.01120v12019
Token Optimization and Context Window Management in Multi-Agent AI Workflows
Dvir Shamay
cs.CLcs.AIarXiv:2608.17188v12026
Arabic Offensive Language on Twitter: Analysis and Experiments
Hamdy Mubarak, Ammar Rashed, Kareem Darwish +2
cs.CLarXiv:2004.02192v32020
Zoology: Measuring and Improving Recall in Efficient Language Models
Simran Arora, Sabri Eyuboglu, Aman Timalsina +5
cs.CLcs.LGarXiv:2312.04927v12023
Neural Linguistic Steganography
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
cs.CLcs.CRcs.LGarXiv:1909.01496v12019
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski +2
cs.CLarXiv:1911.03814v32019
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim, Jaewoo Ahn, Gunhee Kim
cs.CLarXiv:2002.07510v22020
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
Ching Nam Hang, Pei-Duo Yu, Chee Wei Tan
cs.CLcs.AIarXiv:2505.07891v22025
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions
Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur +5
cs.CLcs.CYarXiv:2307.14107v22023
EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
Zimu Wang, Yuling Shi, Mengfan Li +4
cs.SEcs.CLarXiv:2603.27850v12026
InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
Ziyun Zhang, Zezhou Wang, Xiaoyi Zhang +4
cs.CLcs.AIcs.CVarXiv:2601.04126v32026
Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty
Chao Xue, Yao Wang, Mengqiao Liu +11
cs.CLarXiv:2604.10072v42026
Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
Hieu Trung Nguyen, Bao Nguyen, Wenao Ma +3
cs.LGcs.AIcs.CLarXiv:2602.01601v32026
Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi +1
cs.CLcs.AIarXiv:2110.15803v32021
Counting on Consensus: Selecting the Right Inter-annotator Agreement Metric for NLP Annotation and Evaluation
Joseph James
cs.CLarXiv:2603.06865v22026
Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models
Minji Kim, Jihyoung Jang, Hyounghun Kim
cs.CLcs.AIarXiv:2609.04720v12026
A Survey on Contextual Embeddings
Qi Liu, Matt J. Kusner, Phil Blunsom
cs.CLcs.AIcs.LGarXiv:2003.07278v22020
How LLMs Distort Our Written Language
Marwa Abdulhai, Isadora White, Yanming Wan +4
cs.CLcs.AIarXiv:2603.18161v22026
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Haopeng Zhang, Philip S. Yu, Jiawei Zhang
cs.CLarXiv:2406.11289v12024
EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering
Jiatan Huang, Zheyuan Zhang, Kaiwen Shi +2
cs.CLarXiv:2604.05149v12026
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Zhili Cheng, Yuge Tu, Ran Li +9
cs.CVcs.CLarXiv:2501.11858v22025
Conformal Language Modeling
Victor Quach, Adam Fisch, Tal Schuster +4
cs.CLcs.LGarXiv:2306.10193v22023
ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation
Yitong Han, Wei Gao, Yi Zhao +3
cs.CLcs.AIcs.LGarXiv:2609.00057v12026
SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
Chang Jin, An Wang, Zeming Wei +7
cs.CRcs.AIcs.CLarXiv:2605.12015v32026
Do Multimodal LLMs See Before They Read? Diagnosing Contextual Sycophancy
Yi-Cheng Lai, Hen-Hsen Huang
cs.CLcs.AIarXiv:2609.00067v12026
Medical Causal Hypothesis Verification with Large Language Models
Safiyyah Ahmed, Abrar Ansari, Md Aminul Islam +1
cs.CLcs.AIarXiv:2609.00063v12026
How do LLMs Compute Verbal Confidence
Dharshan Kumaran, Arthur Conmy, Federico Barbero +3
cs.CLcs.AIcs.LGarXiv:2603.17839v32026
TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents
Kai Li, Xuanqing Yu, Ziyi Ni +9
cs.CLcs.AIarXiv:2601.02845v22026
Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS
Shijia Xu, Zhou Wu, Xiaolong Jia +3
cs.CLarXiv:2604.10734v12026
Deep convolutional acoustic word embeddings using word-pair side information
Herman Kamper, Weiran Wang, Karen Livescu
cs.CLarXiv:1510.01032v22015
SWE-bench Goes Live!
Linghao Zhang, Shilin He, Chaoyun Zhang +12
cs.SEcs.AIcs.CLarXiv:2505.23419v22025
PALR: Personalization Aware LLMs for Recommendation
Fan Yang, Zheng Chen, Ziyan Jiang +3
cs.IRcs.AIcs.CLarXiv:2305.07622v32023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
cs.LGcs.AIcs.CLarXiv:2306.12929v22023
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
Buqiang Xu, Yijun Chen, Jizhan Fang +5
cs.CLcs.AIcs.IRarXiv:2604.21748v12026
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
Amila Silva, Ling Luo, Shanika Karunasekera +1
cs.CLcs.IRcs.LGarXiv:2102.06314v42021
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Zhengyang Tang, Xingxing Zhang, Benyou Wang +1
cs.CLcs.AIcs.LGarXiv:2403.02884v12024
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
Fangyu Liu, Francesco Piccinno, Syrine Krichene +6
cs.CLcs.AIcs.CVarXiv:2212.09662v22022
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu, Xian Wu, Xiangyu Zhao +4
cs.CLcs.AIarXiv:2310.18339v22023
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil +1
cs.CLarXiv:1008.1986v12010
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
Matthew Francis-Landau, Greg Durrett, Dan Klein
cs.CLarXiv:1604.00734v12016
Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluation
Jhen-Ke Lin
cs.AIcs.CLcs.LGarXiv:2608.30044v12026
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy
cs.CLcs.AIcs.NEarXiv:1607.07514v12016
Adaptive Memory Admission Control for LLM Agents
Guilin Zhang, Wei Jiang, Xiejiashan Wang +5
cs.AIcs.CLcs.MAarXiv:2603.04549v12026
Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks
Elias Lumer, Faheem Nizar, Akshaya Jangiti +4
cs.CLarXiv:2601.06007v22026
ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han, Renrui Zhang, Wenqi Shao +14
cs.MMcs.CLcs.CVarXiv:2309.03905v22023
Automated Researchers Can Mitigate Well-characterized Alignment Failures
Chen Yueh-Han, Jiaxin Wen, Jan Hendrik Kirchner
cs.AIcs.CLarXiv:2608.28945v32026
DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference
Fuliang Liu, Xue Li, Ketai Zhao +7
cs.CLarXiv:2601.19278v12026

Computation and Language

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding

Improved Relation Extraction with Feature-Rich Compositional Embedding Models

Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above

We're Afraid Language Models Aren't Modeling Ambiguity

REST: Retrieval-Based Speculative Decoding

Evaluating the Diversity and Quality of LLM Generated Content

NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons

A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness

Peer-Preservation in Frontier Models

Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models

Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

Token Optimization and Context Window Management in Multi-Agent AI Workflows

Arabic Offensive Language on Twitter: Analysis and Experiments

Zoology: Measuring and Improving Recall in Efficient Language Models

Neural Linguistic Steganography

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue

TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking

Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions

EffiSkill: Agent Skill Based Automated Code Efficiency Optimization

InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training

Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty

Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards

Natural Language Processing for Smart Healthcare

Counting on Consensus: Selecting the Right Inter-annotator Agreement Metric for NLP Annotation and Evaluation

Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models

A Survey on Contextual Embeddings

How LLMs Distort Our Written Language

A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models

EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering

EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents

Conformal Language Modeling

ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces

Do Multimodal LLMs See Before They Read? Diagnosing Contextual Sycophancy

Medical Causal Hypothesis Verification with Large Language Models

How do LLMs Compute Verbal Confidence

TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents

Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS

Deep convolutional acoustic word embeddings using word-pair side information

SWE-bench Goes Live!

PALR: Personalization Aware LLMs for Recommendation

Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing

StructMem: Structured Memory for Long-Horizon Behavior in LLMs

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluation

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder

Adaptive Memory Admission Control for LLM Agents

Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks

ImageBind-LLM: Multi-modality Instruction Tuning

Automated Researchers Can Mitigate Well-characterized Alignment Failures

DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference