{"total":124,"rows":[{"id":"2305.11627","title":"LLM-Pruner: On the Structural Pruning of Large Language Models","created":"2023-05-19","cited_by_count":650,"area":null},{"id":"2306.09212","title":"CMMLU: Measuring massive multitask language understanding in Chinese","created":"2023-06-15","cited_by_count":449,"area":null},{"id":"2402.13116","title":"A Survey on Knowledge Distillation of Large Language Models","created":"2024-02-20","cited_by_count":284,"area":"distill"},{"id":"2308.07633","title":"A Survey on Model Compression for Large Language Models","created":"2023-08-15","cited_by_count":269,"area":null},{"id":"2402.14905","title":"MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases","created":"2024-02-22","cited_by_count":223,"area":null},{"id":"2404.14294","title":"A Survey on Efficient Inference for Large Language Models","created":"2024-04-22","cited_by_count":205,"area":"inference"},{"id":"2307.16039","title":"Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback","created":"2023-07-29","cited_by_count":190,"area":"alignment"},{"id":"2306.09093","title":"Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration","created":"2023-06-15","cited_by_count":172,"area":"mllm"},{"id":"2402.16363","title":"LLM Inference Unveiled: Survey and Roofline Model Insights","created":"2024-02-26","cited_by_count":152,"area":"inference"},{"id":"2308.07317","title":"Platypus: Quick, Cheap, and Powerful Refinement of LLMs","created":"2023-08-14","cited_by_count":150,"area":null},{"id":"2306.08543","title":"MiniLLM: On-Policy Distillation of Large Language Models","created":"2023-06-14","cited_by_count":139,"area":"distill"},{"id":"2407.18921","title":"Mobile Edge Intelligence for Large Language Models: A Contemporary Survey","created":"2024-07-09","cited_by_count":128,"area":null},{"id":"2305.11391","title":"A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation","created":"2023-05-19","cited_by_count":93,"area":null},{"id":"2401.08092","title":"A Survey of Resource-efficient LLM and Multimodal Foundation Models","created":"2024-01-16","cited_by_count":86,"area":null},{"id":"2305.15011","title":"Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation","created":"2023-05-24","cited_by_count":81,"area":null},{"id":"2307.03025","title":"Style Over Substance: Evaluation Biases for Large Language Models","created":"2023-07-06","cited_by_count":70,"area":null},{"id":"2312.11562","title":"A Survey of Reasoning with Foundation Models","created":"2023-12-17","cited_by_count":70,"area":"lr"},{"id":"2308.14352","title":"EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices","created":"2023-08-28","cited_by_count":69,"area":"moe"},{"id":"2311.13647","title":"Language Model Inversion","created":"2023-11-22","cited_by_count":68,"area":null},{"id":"2402.09748","title":"Model Compression and Efficient Inference for Large Language Models: A Survey","created":"2024-02-15","cited_by_count":64,"area":null},{"id":"2402.12030","title":"Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs","created":"2024-02-19","cited_by_count":63,"area":"distill"},{"id":"2401.06468","title":"Adapting Large Language Models for Document-Level Machine Translation","created":"2024-01-12","cited_by_count":59,"area":null},{"id":"2402.10110","title":"Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning","created":"2024-02-15","cited_by_count":57,"area":null},{"id":"2407.01885","title":"Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application","created":"2024-07-02","cited_by_count":56,"area":"distill"},{"id":"2305.18403","title":"LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning","created":"2023-05-28","cited_by_count":53,"area":null},{"id":"2405.11804","title":"(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts","created":"2024-05-20","cited_by_count":49,"area":"agents"},{"id":"2310.07889","title":"LangNav: Language as a Perceptual Representation for Navigation","created":"2023-10-11","cited_by_count":47,"area":null},{"id":"2402.05964","title":"A Survey on Transformer Compression","created":"2024-02-05","cited_by_count":46,"area":null},{"id":"2410.12896","title":"A Survey on Data Synthesis and Augmentation for Large Language Models","created":"2024-10-16","cited_by_count":41,"area":"synth"},{"id":"2305.14327","title":"Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation","created":"2023-05-23","cited_by_count":38,"area":null},{"id":"2310.18859","title":"SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models","created":"2023-10-29","cited_by_count":38,"area":"moe"},{"id":"2305.14976","title":"GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP","created":"2023-05-24","cited_by_count":37,"area":null},{"id":"2402.16840","title":"MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT","created":"2024-02-26","cited_by_count":34,"area":null},{"id":"2402.02314","title":"Selecting Large Language Model to Fine-tune via Rectified Scaling Law","created":"2024-02-04","cited_by_count":33,"area":null},{"id":"2307.12966","title":"Aligning Large Language Models with Human: A Survey","created":"2023-07-24","cited_by_count":32,"area":"alignment"},{"id":"2505.06311","title":"Defending against Indirect Prompt Injection by Instruction Detection","created":"2025-05-08","cited_by_count":32,"area":"rag"},{"id":"2312.02436","title":"MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following","created":"2023-12-05","cited_by_count":30,"area":null},{"id":"2310.16712","title":"LLM Performance Predictors are good initializers for Architecture Search","created":"2023-10-25","cited_by_count":29,"area":null},{"id":"2310.01581","title":"On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?","created":"2023-10-02","cited_by_count":26,"area":"alignment"},{"id":"2312.00678","title":"The Efficiency Spectrum of Large Language Models: An Algorithmic Survey","created":"2023-12-01","cited_by_count":26,"area":null},{"id":"2504.14772","title":"Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions","created":"2025-04-20","cited_by_count":26,"area":"distill"},{"id":"2311.17431","title":"Grounding Foundation Models through Federated Transfer Learning: A General Framework","created":"2023-11-29","cited_by_count":24,"area":null},{"id":"2403.04204","title":"On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models","created":"2024-03-07","cited_by_count":21,"area":"alignment"},{"id":"2305.01181","title":"A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models","created":"2023-05-02","cited_by_count":19,"area":null},{"id":"2402.13887","title":"Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models","created":"2024-02-21","cited_by_count":19,"area":null},{"id":"2306.14979","title":"LM4HPC: Towards Effective Language Model Application in High-Performance Computing","created":"2023-06-26","cited_by_count":18,"area":null},{"id":"2310.09168","title":"Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration","created":"2023-10-13","cited_by_count":18,"area":null},{"id":"2404.06138","title":"Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages","created":"2024-04-09","cited_by_count":18,"area":null},{"id":"2404.11122","title":"Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification","created":"2024-04-17","cited_by_count":18,"area":null},{"id":"2310.11451","title":"Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective","created":"2023-10-17","cited_by_count":17,"area":null},{"id":"2404.07461","title":"An Audit on the Perspectives and Challenges of Hallucinations in NLP","created":"2024-04-11","cited_by_count":17,"area":null},{"id":"2404.14122","title":"Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?","created":"2024-04-22","cited_by_count":17,"area":null},{"id":"2406.08811","title":"Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models","created":"2024-06-13","cited_by_count":16,"area":null},{"id":"2402.11894","title":"Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models","created":"2024-02-19","cited_by_count":15,"area":null},{"id":"2403.01106","title":"Distilling Text Style Transfer With Self-Explanation From LLMs","created":"2024-03-02","cited_by_count":12,"area":null},{"id":"2403.06414","title":"Evolving Knowledge Distillation with Large Language Models and Active Learning","created":"2024-03-11","cited_by_count":12,"area":"distill"},{"id":"2408.01323","title":"FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only","created":"2024-08-02","cited_by_count":11,"area":null},{"id":"2505.16162","title":"KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization","created":"2025-05-22","cited_by_count":11,"area":"inference"},{"id":"2402.15951","title":"DetoxLLM: A Framework for Detoxification with Explanations","created":"2024-02-25","cited_by_count":10,"area":null},{"id":"2506.17486","title":"Distilling On-device Language Models for Robot Planning with Minimal Human Intervention","created":"2025-06-20","cited_by_count":10,"area":"lr"},{"id":"2312.00960","title":"The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models","created":"2023-12-01","cited_by_count":9,"area":null},{"id":"2405.13326","title":"Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning","created":"2024-05-22","cited_by_count":9,"area":"synth"},{"id":"2504.21303","title":"Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges","created":"2025-04-30","cited_by_count":8,"area":null},{"id":"2308.11807","title":"Towards an On-device Agent for Text Rewriting","created":"2023-08-22","cited_by_count":7,"area":"agents"},{"id":"2309.08968","title":"Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference","created":"2023-09-16","cited_by_count":7,"area":null},{"id":"2406.14553","title":"xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics","created":"2024-06-20","cited_by_count":7,"area":null},{"id":"2409.01990","title":"Designing Large Foundation Models for Efficient Training and Inference: A Survey","created":"2024-09-03","cited_by_count":7,"area":null},{"id":"2509.25131","title":"MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech","created":"2025-09-29","cited_by_count":7,"area":null},{"id":"2604.04722","title":"Don't Waste Bits! Adaptive KV-Cache Quantization for Lightweight On-Device LLMs","created":"2026-04-06","cited_by_count":7,"area":"inference"},{"id":"2402.10555","title":"SPAR: Personalized Content-Based Recommendation via Long Engagement Attention","created":"2024-02-16","cited_by_count":6,"area":null},{"id":"2404.11095","title":"Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues","created":"2024-04-17","cited_by_count":6,"area":"alignment"},{"id":"2406.10882","title":"SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models","created":"2024-06-16","cited_by_count":6,"area":null},{"id":"2410.13464","title":"IterSelectTune: An Iterative Training Framework for Efficient Instruction-Tuning Data Selection","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2504.02708","title":"The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context","created":"2025-04-03","cited_by_count":6,"area":"lr"},{"id":"2305.11789","title":"Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach","created":"2023-05-19","cited_by_count":5,"area":null},{"id":"2305.11862","title":"Reducing Sequence Length by Predicting Edit Operations with Large Language Models","created":"2023-05-19","cited_by_count":5,"area":null},{"id":"2310.08885","title":"InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems","created":"2023-10-13","cited_by_count":5,"area":null},{"id":"2401.08511","title":"The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing","created":"2024-01-16","cited_by_count":5,"area":null},{"id":"2406.07017","title":"MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations","created":"2024-06-11","cited_by_count":5,"area":null},{"id":"2412.03587","title":"Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models","created":"2024-11-26","cited_by_count":5,"area":null},{"id":"2509.07379","title":"DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance","created":"2025-09-09","cited_by_count":5,"area":"moe"},{"id":"2509.14008","title":"Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale","created":"2025-09-17","cited_by_count":5,"area":null},{"id":"2312.10793","title":"Demystifying Instruction Mixing for Fine-tuning Large Language Models","created":"2023-12-17","cited_by_count":4,"area":null},{"id":"2408.10663","title":"REInstruct: Building Instruction Data from Unlabeled Corpus","created":"2024-08-20","cited_by_count":4,"area":null},{"id":"2502.12594","title":"PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2506.00739","title":"DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments","created":"2025-05-31","cited_by_count":4,"area":"agents"},{"id":"2507.20858","title":"A survey of diversity quantification in natural language processing: The why, what, where and how","created":"2025-07-28","cited_by_count":4,"area":null},{"id":"2310.14557","title":"The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages","created":"2023-10-23","cited_by_count":3,"area":null},{"id":"2311.00897","title":"On The Open Prompt Challenge In Conditional Audio Generation","created":"2023-11-01","cited_by_count":3,"area":null},{"id":"2311.08213","title":"Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models","created":"2023-11-14","cited_by_count":3,"area":"mllm"},{"id":"2403.15740","title":"Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training","created":"2024-03-23","cited_by_count":3,"area":"safety"},{"id":"2404.12195","title":"OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data","created":"2024-04-18","cited_by_count":3,"area":"alignment"},{"id":"2404.12596","title":"Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation","created":"2024-04-19","cited_by_count":3,"area":"distill"},{"id":"2406.14457","title":"Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue","created":"2024-06-20","cited_by_count":3,"area":"alignment"},{"id":"2409.09071","title":"Elastic On-Device LLM Service","created":"2024-09-08","cited_by_count":3,"area":null},{"id":"2409.12500","title":"LLMR: Knowledge Distillation with a Large Language Model-Induced Reward","created":"2024-09-19","cited_by_count":3,"area":"distill"},{"id":"2411.03768","title":"A Bayesian Approach to Data Point Selection","created":"2024-11-06","cited_by_count":3,"area":null},{"id":"2412.01078","title":"Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2602.12172","title":"Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation","created":"2026-02-12","cited_by_count":3,"area":"synth"},{"id":"2605.23857","title":"Strong Teacher Not Needed? On Distillation in LLM Pretraining","created":"2026-05-22","cited_by_count":3,"area":"distill"}],"next_cursor":"100"}