conftrace_

inference efficiency

248 papers

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Co-occurring keywords

model compression (3302) large language model (13587) knowledge distillation (3725) inference optimization (219) kv cache (74) efficient computing (781) language model (4599) inference acceleration (244) attention mechanism (4001) neural network (6616)

Papers

TokenPowerBench: Benchmarking the Power Consumption of LLM Inference AAAI 2026

TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models AAAI 2026

HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models (Student Abstract) AAAI 2026

SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models AAAI 2026

Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models ACL 2026

DualRes: Production-ready Dynamic Object Detection WACV 2026

xLM: A Python Package for Non-Autoregressive Language Models EACL 2026

Efficient Model Specialization via Training-time and Test-time Adaptation AAAI 2026

SABER: Switchable and Balanced Training for Efficient LLM Reasoning AAAI 2026

Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment AAAI 2026

Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026

HeteroSpec: Leveraging Contextual Heterogeneity for Efficient Speculative Decoding ACL 2026

CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models ACL 2026

CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning AAAI 2026

Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models WACV 2026

CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks EACL 2026

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference EACL 2026

FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training AAAI 2026

LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention AAAI 2026

SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning AAAI 2026

Towards Aligned and Efficient Large Language Models AAAI 2026

Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models ICCV 2025

MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling ICCV 2025

ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers ICCV 2025

Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 2025