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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13,981 to 14,040 of 19,309
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Deepak Nathani, Lovish Madaan, Nicholas Roberts +14
cs.CLcs.AIcs.LGarXiv:2502.14499v12025Learning adaptive planning representations with natural language guidance
Lionel Wong, Jiayuan Mao, Pratyusha Sharma +5
cs.AIcs.CLcs.ROarXiv:2312.08566v12023Rethinking Token Reweighting for SFT: Suppress, Reverse, and Extrapolate Learned Features
Cunchun Li, Haonan He, Yifan Gao +4
cs.CLarXiv:2609.33463v12026Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
Qineng Wang, Zihao Wang, Ying Su +2
cs.CLcs.AIarXiv:2402.18272v12024De-identification of Patient Notes with Recurrent Neural Networks
Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner +1
cs.CLcs.AIcs.NEarXiv:1606.03475v12016Summaries:한국어TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation
Adam Filipek
cs.CLcs.LGarXiv:2510.05485v12025Just-In-Time Agent Memory with Runtime Agentic Research
Bingyu Yan, Chaofan Li, Hongjin Qian +3
cs.CLcs.AIcs.IRarXiv:2609.34385v12026UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
Yibo Yan, Haomin Wen, Siru Zhong +5
cs.CLcs.AIarXiv:2310.18340v22023Towards Debiasing Fact Verification Models
Tal Schuster, Darsh J Shah, Yun Jie Serene Yeo +3
cs.CLarXiv:1908.05267v22019SquidAgent: Parallelize Wisely, Coordinate Efficiently
Yexiong Lin, Shanshan Ye, Yu Yao +3
cs.AIcs.CLcs.LGarXiv:2610.08647v12026A Single Character can Make or Break Your LLM Evals
Jingtong Su, Jianyu Zhang, Karen Ullrich +2
cs.CLcs.AIarXiv:2510.05152v12025SWRouter: Similarity-Contractive Window Routing for Multi-Turn Large Language Model Conversations
Yu Wang, Yuchen Li, Rui Kong +11
cs.CLcs.AIcs.IRarXiv:2609.11414v12026MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
Dongzhi Jiang, Renrui Zhang, Ziyu Guo +11
cs.CVcs.AIcs.CLarXiv:2502.09621v12025DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Rulin Shao, Akari Asai, Shannon Zejiang Shen +18
cs.CLcs.AIcs.LGarXiv:2511.19399v32025Value-Aware Stochastic KV Cache Eviction for Reasoning Models
Ting-Yun Chang, Harvey Yiyun Fu, Deqing Fu +3
cs.LGcs.CLarXiv:2606.03928v12026PromptTTS: Controllable Text-to-Speech with Text Descriptions
Zhifang Guo, Yichong Leng, Yihan Wu +2
eess.AScs.CLcs.LGarXiv:2211.12171v12022CRISP: Cultural Reward Modeling for Implicit Situated Propriety
Zekun Yuan, Yangfan Ye, Baohang Li +6
cs.CLarXiv:2609.34345v12026CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversation
Jie Zhu, Yuanchen Zhou, Shuo Jiang +5
cs.CLcs.AIarXiv:2510.05122v22025You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories
Zhepei Wei, Xinyu Zhu, Wei-Lin Chen +3
cs.LGcs.CLarXiv:2605.21468v12026Dr.Credit: Rubric-Grounded Process Credit Assignment for Deep Research Agents
Yingjian Zhu, Zhenyi Wang, Jiaxin Guo +6
cs.CLcs.AIarXiv:2609.34296v12026Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
cs.CLarXiv:2102.12452v42021MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
Binxu Li, Tiankai Yan, Yuanting Pan +8
cs.CLcs.AIarXiv:2407.02483v22024Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
Siyan Zhao, Mingyi Hong, Yang Liu +2
cs.LGcs.CLarXiv:2502.09597v12025No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models
Min Woo Sun, Alejandro Lozano, Javier Gamazo Tejero +8
cs.CVcs.CLarXiv:2510.03978v12025SurveyBench: Can LLM(-Agents) Write Academic Surveys that Align with Reader Needs?
Zhaojun Sun, Xuzhou Zhu, Xuanhe Zhou +6
cs.CLarXiv:2510.03120v22025Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence
Peng Gao, Fei Shao, Xiaoyuan Liu +6
cs.CRcs.CLcs.DBarXiv:2010.13637v22020Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts
Yuan Zuo, Jichang Zhao, Ke Xu
cs.CLcs.IRarXiv:1412.5404v12014Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
Minwu Kim, Safal Shrestha, Anubhav Shrestha +1
cs.LGcs.AIcs.CLarXiv:2601.20829v22026Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs
Zhihao Wu, Gracia Gong, Qinglin Zhu +2
cs.CLarXiv:2605.30501v12026ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding
Dongling Xiao, Yu-Kun Li, Han Zhang +4
cs.CLcs.LGarXiv:2010.12148v22020Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
Grégoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato +1
cs.CLcs.IRcs.LGarXiv:1412.5335v72014The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback
Hangfan Zhang, Siyuan Xu, Zhimeng Guo +8
cs.CLarXiv:2510.02752v12025Pretraining with hierarchical memories: separating long-tail and common knowledge
Hadi Pouransari, David Grangier, C Thomas +2
cs.CLcs.AIcs.LGarXiv:2510.02375v32025Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems
Syed S. Akhtar, Arihant Gupta, Avijit Vajpayee +2
cs.CLcs.LGarXiv:2609.34138v12026Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
Steffen Eger, Yong Cao, Jennifer D'Souza +11
cs.CLcs.AIcs.CVarXiv:2502.05151v32025UNREAL: Unifying Retrieval and Long-Context with a Single Model
Edan Kinderman, Elad Hoffer, Yochai Blau +4
cs.CLcs.IRcs.LGarXiv:2610.08463v12026Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
Tiansheng Huang, Sihao Hu, Ling Liu
cs.LGcs.CLarXiv:2402.01109v62024Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models
Bohan Yu, Pengfei Cao, Chen Han +7
cs.CLarXiv:2608.22753v12026A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Tara N. Sainath, Yanzhang He, Bo Li +26
cs.CLcs.LGcs.SDarXiv:2003.12710v22020SKYLENAGE Technical Report: Mathematical Reasoning and Contest-Innovation Benchmarks for Multi-Level Math Evaluation
Hu Wei, Ze Xu, Boyu Yang +15
cs.CLarXiv:2510.01241v12025Unsupervised Statistical Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1809.01272v12018Who Gets a Token, and What Does It Carry? Unequal Name Support and Concept Access in Large Language Models
Mir Tafseer Nayeem, Davood Rafiei
cs.CLcs.AIcs.CYarXiv:2609.34065v12026WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
Yuwei Niu, Munan Ning, Mengren Zheng +9
cs.CVcs.AIcs.CLarXiv:2503.07265v42025Self-conditioned Flow Map Language Models via Fixed-point Flows
Jaehoon Yoo, Wonjung Kim, Floor Eijkelboom +4
cs.CLcs.AIarXiv:2607.00714v22026AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts
Shicheng Fang, Yuxin Wang, Xiaoran Liu +6
cs.CLarXiv:2601.20730v32026Knowing When Not to Answer: Cross-Domain and Multi-Turn Generalization of Latent Underspecification Signals
Jerzy Kamiński, Ilya Galyukshev, Artem Kuznetsov +6
cs.CLcs.AIcs.LGarXiv:2610.08413v12026Syntactic Structure from Deep Learning
Tal Linzen, Marco Baroni
cs.CLarXiv:2004.10827v12020A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li, Minh-Thang Luong, Dan Jurafsky
cs.CLarXiv:1506.01057v22015The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Shuming Ma, Hongyu Wang, Lingxiao Ma +7
cs.CLcs.LGarXiv:2402.17764v12024Mind the Gap: Exposing LLM Translation Blind Spots Using the AlphaMWE Multilingual Parallel Corpus
Lifeng Han, Jiahui Liang, Anna Latusek +6
cs.CLcs.AIarXiv:2609.06634v12026TagSpeech: End-to-End Multi-Speaker ASR and Diarization with Fine-Grained Temporal Grounding
Mingyue Huo, Yiwen Shao, Yuheng Zhang
eess.AScs.CLarXiv:2601.06896v22026CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad +5
cs.CLcs.SEarXiv:2212.10007v22022Progressive Prompts: Continual Learning for Language Models
Anastasia Razdaibiedina, Yuning Mao, Rui Hou +3
cs.CLcs.AIcs.LGarXiv:2301.12314v12023MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources
Huu Nguyen, Victor May, Harsh Raj +14
cs.CLcs.AIcs.LGarXiv:2509.25531v52025Agentic-R: Learning to Retrieve for Agentic Search
Wenhan Liu, Xinyu Ma, Yutao Zhu +4
cs.IRcs.CLarXiv:2601.11888v12026AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios
Kaiyuan Chen, Qimin Wu, Taiyu Hou +42
cs.CLarXiv:2601.20613v22026Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding
Yanzheng Xiang, Lan Wei, Yizhen Yao +8
cs.CLcs.AIarXiv:2602.06161v22026PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski +3
cs.CLcs.AIcs.LGarXiv:2312.07559v22023T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning
Qinsi Wang, Hancheng Ye, Jinhee Kim +12
cs.CLcs.AIarXiv:2603.03790v12026Understanding tables with intermediate pre-training
Julian Martin Eisenschlos, Syrine Krichene, Thomas Müller
cs.CLcs.AIcs.IRarXiv:2010.00571v22020