{"total":32,"rows":[{"id":"2210.09461","title":"Token Merging: Your ViT But Faster","created":"2022-10-17","cited_by_count":1021,"area":"inference"},{"id":"2310.01801","title":"Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs","created":"2023-10-03","cited_by_count":474,"area":"inference"},{"id":"2407.11550","title":"Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference","created":"2024-07-16","cited_by_count":235,"area":"inference"},{"id":"2302.07863","title":"Speculative Decoding with Big Little Decoder","created":"2023-02-15","cited_by_count":164,"area":"inference"},{"id":"2403.05527","title":"GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM","created":"2024-03-08","cited_by_count":158,"area":"inference"},{"id":"2107.00910","title":"Learned Token Pruning for Transformers","created":"2021-07-02","cited_by_count":139,"area":"inference"},{"id":"2312.01026","title":"Token Fusion: Bridging the Gap between Token Pruning and Token Merging","created":"2023-12-02","cited_by_count":125,"area":"inference"},{"id":"2203.07259","title":"The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models","created":"2022-03-14","cited_by_count":115,"area":"inference"},{"id":"2312.11462","title":"Cascade Speculative Drafting for Even Faster LLM Inference","created":"2023-12-18","cited_by_count":83,"area":"inference"},{"id":"2306.07050","title":"Revisiting Token Pruning for Object Detection and Instance Segmentation","created":"2023-06-12","cited_by_count":50,"area":"inference"},{"id":"2307.10780","title":"Learned Thresholds Token Merging and Pruning for Vision Transformers","created":"2023-07-20","cited_by_count":21,"area":"inference"},{"id":"2512.03324","title":"Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs","created":"2025-12-03","cited_by_count":19,"area":"inference"},{"id":"2312.11882","title":"ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference","created":"2023-12-19","cited_by_count":13,"area":"inference"},{"id":"2403.08058","title":"CHAI: Clustered Head Attention for Efficient LLM Inference","created":"2024-03-12","cited_by_count":13,"area":"inference"},{"id":"2503.10135","title":"Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding","created":"2025-03-13","cited_by_count":9,"area":"inference"},{"id":"2503.10714","title":"ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs","created":"2025-03-13","cited_by_count":8,"area":"inference"},{"id":"2411.18077","title":"MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache","created":"2024-11-27","cited_by_count":6,"area":"inference"},{"id":"2408.01890","title":"Cross-layer Attention Sharing for Pre-trained Large Language Models","created":"2024-08-04","cited_by_count":5,"area":"inference"},{"id":"2303.02331","title":"Training-Free Acceleration of ViTs with Delayed Spatial Merging","created":"2023-03-04","cited_by_count":3,"area":"inference"},{"id":"2410.09324","title":"Token Pruning using a Lightweight Background Aware Vision Transformer","created":"2024-10-12","cited_by_count":3,"area":"inference"},{"id":"2506.01215","title":"Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers","created":"2025-06-01","cited_by_count":3,"area":"inference"},{"id":"2605.06675","title":"RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory","created":"2026-04-22","cited_by_count":3,"area":"inference"},{"id":"2406.11016","title":"Optimized Speculative Sampling for GPU Hardware Accelerators","created":"2024-06-16","cited_by_count":2,"area":"inference"},{"id":"2601.11471","title":"Low-Rank Key Value Attention","created":"2026-01-16","cited_by_count":2,"area":"inference"},{"id":"2606.06302","title":"Tangram: Unlocking Non-Uniform KV Cache Compression for Efficient Multi-turn LLM Serving","created":"2026-06-04","cited_by_count":2,"area":"inference"},{"id":"2505.21077","title":"Efficient Large Language Model Inference with Neural Block Linearization","created":"2025-05-27","cited_by_count":1,"area":"inference"},{"id":"2604.19351","title":"DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing","created":"2026-04-21","cited_by_count":1,"area":"inference"},{"id":"2606.15157","title":"Exploring a Layer-Wise Design Space for KV Cache Eviction","created":"2026-06-13","cited_by_count":1,"area":"inference"},{"id":"2606.18056","title":"ConSA: Controllable Sparsity in Hybrid Attention via Learnable Allocation","created":"2026-06-16","cited_by_count":0,"area":"inference"},{"id":"2606.31145","title":"SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference","created":"2026-06-30","cited_by_count":0,"area":"inference"},{"id":"2608.30439","title":"Event-Driven Language Models with Sparse Neural Activity for Neuromorphic Hardware","created":"2026-08-31","cited_by_count":0,"area":"inference"},{"id":"2610.03135","title":"Page-EntroKV: Hardware-Aligned, Entropy-Weighted KV-Cache Eviction under Grouped-Query Attention","created":"2026-10-02","cited_by_count":0,"area":"inference"}],"next_cursor":null}