LBLLM achieves better accuracy than prior binarization methods for LLMs by decoupling weight and activation quantization through initialization, layer-wise distillation, and learnable activation scaling.
Surveying the mllm landscape: A meta-review of current surveys
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
representative citing papers
DaID mitigates MLLM hallucinations by attention-guided selection of dual layers that calibrate token generation using internal perceptual discrepancies.
MESA reduces hallucinations in LVLMs via controlled selective latent intervention that preserves the original token distribution.
AOI is a multi-agent system that dynamically schedules operations and compresses context hierarchically to achieve 72% compression while preserving 93% critical information and cutting repair times by 34%.
citing papers explorer
-
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
LBLLM achieves better accuracy than prior binarization methods for LLMs by decoupling weight and activation quantization through initialization, layer-wise distillation, and learnable activation scaling.
-
Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation
DaID mitigates MLLM hallucinations by attention-guided selection of dual layers that calibrate token generation using internal perceptual discrepancies.
-
Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction
MESA reduces hallucinations in LVLMs via controlled selective latent intervention that preserves the original token distribution.
-
AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
AOI is a multi-agent system that dynamically schedules operations and compresses context hierarchically to achieve 72% compression while preserving 93% critical information and cutting repair times by 34%.
- RISE: Reliable Improvement in Self-Evolving Vision-Language Models