🤖 language models - comwena · Scour

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models 💬LLM

Semantic Structure of Feature Space in Large Language Models 💬LLM

LLM-Guided Runtime Parameter Optimization for Energy-Efficient Model Inference 💬LLM

Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning 💬LLM

Cross-Lingual Response Consistency in Large Language Models: An ILR-Informed Evaluation of Claude Across Six Languages 💬LLM

Delineating Knowledge Boundaries for Honest Large Vision-Language Models 💬LLM

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models 💬LLM

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models 💬LLM

ChipLingo: A Systematic Training Framework for Large Language Models in EDA 💬LLM

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective 💬LLM

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models 💬LLM

Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining 💬LLM

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling 💬LLM

Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs 🦙Ollama

Estimating Tail Risks in Language Model Output Distributions 💬LLM

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling 💬LLM

MoRFI: Monotonic Sparse Autoencoder Feature Identification 💬LLM

EdgeFM: Efficient Edge Inference for Vision-Language Models 💬LLM

Large Language Models Decide Early and Explain Later 💬LLM

Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation 💬LLM

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