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Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding 聽鈿欙笍AI Tools
arxiv.org路2d
Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders 聽鈿欙笍AI Tools
arxiv.org路3d
Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning 聽鈿欙笍AI Tools
arxiv.org路11h
Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control 聽鈿栵笍AI Ethics
arxiv.org路1d
UniSD: Towards a Unified Self-Distillation Framework for Large Language Models 聽鈿欙笍AI Tools
arxiv.org路11h
Enhancing Visual Question Answering with Multimodal LLMs via Chain-of-Question Guided Retrieval-Augmented Generation 聽鈿欙笍AI Tools
arxiv.org路2d
Activation Compression in LLMs: Theoretical Analysis and Efficient Algorithm 聽鈿欙笍AI Tools
arxiv.org路3d
Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs 聽鈿欙笍AI Tools
arxiv.org路11h
Analysis and Explainability of LLMs Via Evolutionary Methods 聽鈿栵笍AI Ethics
arxiv.org路2d
Maistros: A Greek Large Language Model Adapted Through Knowledge Distillation From Large Reasoning Models 聽鈿欙笍AI Tools
arxiv.org路3d
Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models 聽鈿栵笍AI Ethics
arxiv.org路1d
JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions 聽鈿欙笍AI Tools
arxiv.org路1d
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length 聽鈿欙笍AI Tools
arxiv.org路3d
RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization 聽鈿欙笍AI Tools
arxiv.org路1d
ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity 聽鈿欙笍AI Tools
arxiv.org路2d
Rethinking LLM Ensembling from the Perspective of Mixture Models 聽鈿欙笍AI Tools
arxiv.org路4d
Demystifying Manifold Constraints in LLM Pre-training 聽鈿欙笍AI Tools
arxiv.org路1d
Beyond 'Is It Intelligent?': A 5-Layer Framework for Understanding What LLMs Actually Do 聽鈿欙笍AI Tools
arxiv.org路3d路DEV
Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB) 聽鈿欙笍AI Tools
arxiv.org路1d
CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels 聽鈿欙笍AI Tools
arxiv.org路1d
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