{"total":113,"rows":[{"id":"2403.13372","title":"LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models","created":"2024-03-20","cited_by_count":1464,"area":null},{"id":"2403.04652","title":"Yi: Open Foundation Models by 01.AI","created":"2024-03-07","cited_by_count":719,"area":null},{"id":"2406.00515","title":"A Survey on Large Language Models for Code Generation","created":"2024-06-01","cited_by_count":658,"area":null},{"id":"2408.07666","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","created":"2024-08-14","cited_by_count":254,"area":null},{"id":"2403.13257","title":"Arcee's MergeKit: A Toolkit for Merging Large Language Models","created":"2024-03-20","cited_by_count":194,"area":null},{"id":"2401.01325","title":"LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning","created":"2024-01-02","cited_by_count":136,"area":null},{"id":"2507.10524","title":"Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation","created":"2025-07-14","cited_by_count":133,"area":null},{"id":"2403.18932","title":"Measuring Political Bias in Large Language Models: What Is Said and How It Is Said","created":"2024-03-27","cited_by_count":89,"area":null},{"id":"2410.20672","title":"Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA","created":"2024-10-28","cited_by_count":78,"area":null},{"id":"2410.24190","title":"Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters","created":"2024-10-31","cited_by_count":71,"area":null},{"id":"2406.06391","title":"Towards Lifelong Learning of Large Language Models: A Survey","created":"2024-06-10","cited_by_count":64,"area":null},{"id":"2406.06331","title":"MedExQA: Medical Question Answering Benchmark with Multiple Explanations","created":"2024-06-10","cited_by_count":60,"area":null},{"id":"2402.13211","title":"Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation","created":"2024-02-20","cited_by_count":55,"area":null},{"id":"2408.07990","title":"FuseChat: Knowledge Fusion of Chat Models","created":"2024-08-15","cited_by_count":55,"area":null},{"id":"2405.09980","title":"FinTextQA: A Dataset for Long-form Financial Question Answering","created":"2024-05-16","cited_by_count":54,"area":null},{"id":"2405.15319","title":"Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training","created":"2024-05-24","cited_by_count":43,"area":null},{"id":"2401.13979","title":"Routoo: Learning to Route to Large Language Models Effectively","created":"2024-01-25","cited_by_count":34,"area":null},{"id":"2406.12585","title":"Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling","created":"2024-06-18","cited_by_count":33,"area":null},{"id":"2405.16884","title":"Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching","created":"2024-05-27","cited_by_count":32,"area":null},{"id":"2406.15981","title":"Serial Position Effects of Large Language Models","created":"2024-06-23","cited_by_count":30,"area":null},{"id":"2403.19390","title":"Checkpoint Merging via Bayesian Optimization in LLM Pretraining","created":"2024-03-28","cited_by_count":27,"area":null},{"id":"2405.20574","title":"Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark","created":"2024-05-31","cited_by_count":23,"area":null},{"id":"2403.01469","title":"KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations","created":"2024-03-03","cited_by_count":22,"area":null},{"id":"2405.14428","title":"Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs","created":"2024-05-23","cited_by_count":21,"area":null},{"id":"2404.07900","title":"High-Dimension Human Value Representation in Large Language Models","created":"2024-04-11","cited_by_count":20,"area":null},{"id":"2502.18934","title":"Kanana: Compute-efficient Bilingual Language Models","created":"2025-02-26","cited_by_count":20,"area":null},{"id":"2404.01954","title":"HyperCLOVA X Technical Report","created":"2024-04-02","cited_by_count":18,"area":null},{"id":"2501.17858","title":"Improving Your Model Ranking on Chatbot Arena by Vote Rigging","created":"2025-01-29","cited_by_count":17,"area":null},{"id":"2402.11683","title":"One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation","created":"2024-02-18","cited_by_count":16,"area":null},{"id":"2402.13213","title":"Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A","created":"2024-02-20","cited_by_count":16,"area":null},{"id":"2503.00865","title":"Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers","created":"2025-03-02","cited_by_count":16,"area":null},{"id":"2402.14714","title":"Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models","created":"2024-02-22","cited_by_count":15,"area":null},{"id":"2404.05144","title":"Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients","created":"2024-04-08","cited_by_count":14,"area":null},{"id":"2406.03280","title":"FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion","created":"2024-06-05","cited_by_count":13,"area":null},{"id":"2403.09724","title":"ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2404.19296","title":"Octopus v4: Graph of language models","created":"2024-04-30","cited_by_count":11,"area":null},{"id":"2412.08258","title":"Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field","created":"2024-12-11","cited_by_count":10,"area":null},{"id":"2402.09841","title":"LAPDoc: Layout-Aware Prompting for Documents","created":"2024-02-15","cited_by_count":9,"area":null},{"id":"2406.07736","title":"MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models","created":"2024-06-11","cited_by_count":9,"area":null},{"id":"2408.10174","title":"SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models","created":"2024-08-19","cited_by_count":9,"area":null},{"id":"2410.05357","title":"Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild","created":"2024-10-07","cited_by_count":9,"area":null},{"id":"2404.08710","title":"Do Large Language Models Learn Human-Like Strategic Preferences?","created":"2024-04-11","cited_by_count":8,"area":null},{"id":"2409.18893","title":"HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models","created":"2024-09-27","cited_by_count":8,"area":null},{"id":"2410.09870","title":"ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains","created":"2024-10-13","cited_by_count":8,"area":null},{"id":"2502.08020","title":"Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding","created":"2025-02-11","cited_by_count":8,"area":null},{"id":"2503.19540","title":"FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models","created":"2025-03-25","cited_by_count":8,"area":null},{"id":"2505.18502","title":"Knowledge Fusion of Large Language Models Via Modular SkillPacks","created":"2025-05-24","cited_by_count":8,"area":null},{"id":"2407.06349","title":"Large Language Model Recall Uncertainty is Modulated by the Fan Effect","created":"2024-07-08","cited_by_count":7,"area":null},{"id":"2411.08977","title":"Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness","created":"2024-11-13","cited_by_count":7,"area":null},{"id":"2509.11414","title":"Continually Adding New Languages to Multilingual Language Models","created":"2025-09-14","cited_by_count":7,"area":null},{"id":"2602.16490","title":"From Growing to Looping: A Unified View of Iterative Computation in LLMs","created":"2026-02-18","cited_by_count":7,"area":null},{"id":"2402.16107","title":"Knowledge Fusion of Chat LLMs: A Preliminary Technical Report","created":"2024-02-25","cited_by_count":6,"area":null},{"id":"2404.18311","title":"Towards Incremental Learning in Large Language Models: A Critical Review","created":"2024-04-28","cited_by_count":6,"area":null},{"id":"2408.04660","title":"XMainframe: A Large Language Model for Mainframe Modernization","created":"2024-08-05","cited_by_count":6,"area":null},{"id":"2410.02330","title":"Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection","created":"2024-10-03","cited_by_count":6,"area":null},{"id":"2502.12560","title":"How does a Language-Specific Tokenizer affect LLMs?","created":"2025-02-18","cited_by_count":6,"area":null},{"id":"2512.08819","title":"Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth Analysis","created":"2025-12-09","cited_by_count":6,"area":null},{"id":"2601.11579","title":"Bielik 11B v3: Multilingual Large Language Model for European Languages","created":"2025-12-30","cited_by_count":6,"area":null},{"id":"2404.00943","title":"Evalverse: Unified and Accessible Library for Large Language Model Evaluation","created":"2024-04-01","cited_by_count":5,"area":null},{"id":"2407.12869","title":"Bilingual Adaptation of Monolingual Foundation Models","created":"2024-07-13","cited_by_count":5,"area":null},{"id":"2410.18436","title":"Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching","created":"2024-10-24","cited_by_count":5,"area":null},{"id":"2410.18836","title":"From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages","created":"2024-10-24","cited_by_count":5,"area":null},{"id":"2502.05651","title":"KMI: A Dataset of Korean Motivational Interviewing Dialogues for Psychotherapy","created":"2025-02-08","cited_by_count":5,"area":null},{"id":"2502.13794","title":"LESA: Learnable LLM Layer Scaling-Up","created":"2025-02-19","cited_by_count":5,"area":null},{"id":"2503.01550","title":"None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering","created":"2025-03-03","cited_by_count":5,"area":null},{"id":"2505.02550","title":"Bielik v3 Small: Technical Report","created":"2025-05-05","cited_by_count":5,"area":null},{"id":"2601.09066","title":"Mi:dm 2.0 Korea-centric Bilingual Language Models","created":"2026-01-14","cited_by_count":5,"area":null},{"id":"2406.10267","title":"Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation of expected values","created":"2024-06-11","cited_by_count":4,"area":null},{"id":"2410.08731","title":"Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models","created":"2024-10-11","cited_by_count":4,"area":null},{"id":"2412.19450","title":"Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models","created":"2024-12-27","cited_by_count":4,"area":null},{"id":"2503.11858","title":"OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2508.08011","title":"Optimal Transport Depth Up-Scaling","created":"2025-08-11","cited_by_count":4,"area":null},{"id":"2406.11634","title":"The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance","created":"2024-06-17","cited_by_count":3,"area":null},{"id":"2505.15353","title":"Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2506.09147","title":"LLM-as-a-qualitative-judge: automating error analysis in natural language generation","created":"2025-06-10","cited_by_count":3,"area":null},{"id":"2405.11222","title":"Transformer based neural networks for emotion recognition in conversations","created":"2024-05-18","cited_by_count":2,"area":null},{"id":"2410.01512","title":"InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets","created":"2024-10-02","cited_by_count":2,"area":null},{"id":"2502.11330","title":"System Message Generation for User Preferences using Open-Source Models","created":"2025-02-17","cited_by_count":2,"area":null},{"id":"2503.02993","title":"Zero-Shot Multi-Label Classification of Bangla Documents: Large Decoders Vs. Classic Encoders","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2505.02410","title":"Bielik 11B v2 Technical Report","created":"2025-05-05","cited_by_count":2,"area":null},{"id":"2505.11820","title":"Chain-of-Model Learning for Language Model","created":"2025-05-17","cited_by_count":2,"area":null},{"id":"2506.01237","title":"Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2509.03972","title":"Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study","created":"2025-09-04","cited_by_count":2,"area":null},{"id":"2602.22543","title":"Ruyi2 Technical Report","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2402.11757","title":"Large Language Models for Stemming: Promises, Pitfalls and Failures","created":"2024-02-19","cited_by_count":1,"area":null},{"id":"2403.15491","title":"Open Conversational LLMs do not know most Spanish words","created":"2024-03-21","cited_by_count":1,"area":null},{"id":"2410.03829","title":"Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2508.06309","title":"Matrix-Driven Identification and Reconstruction of LLM Weight Homology","created":"2025-08-08","cited_by_count":1,"area":null},{"id":"2509.24229","title":"Model Fusion with Multi-LoRA Inference for Tool-Enhanced Game Dialogue Agents","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2511.04981","title":"Scaling depth capacity via zero/one-layer model expansion","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2604.10799","title":"Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series","created":"2026-04-12","cited_by_count":1,"area":null},{"id":"2605.17443","title":"Analyzing Error Propagation in Korean Spoken QA with ASR-LLM Cascades","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2606.06444","title":"USAD 2.0: Scaling Representation Distillation for Universal Audio Understanding","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2606.31796","title":"CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2403.15040","title":"ESG Classification by Implicit Rule Learning via GPT-4","created":"2024-03-22","cited_by_count":0,"area":null},{"id":"2411.09475","title":"ResidualDroppath: Enhancing Feature Reuse over Residual Connections","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2508.05649","title":"AI Guided Accelerator For Search Experience","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2510.08620","title":"JAI-1: A Thai-Centric Large Language Model","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2510.15558","title":"KITE: A Benchmark for Evaluating Korean Instruction-Following Abilities in Large Language Models","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2510.24139","title":"Beyond Line-Level Filtering for the Pretraining Corpora of LLMs","created":"2025-10-28","cited_by_count":0,"area":null}],"next_cursor":"100"}