{"total":36,"rows":[{"id":"2406.17415","title":"Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels","created":"2024-06-25","cited_by_count":16,"area":null},{"id":"2508.19843","title":"SoK: Large Language Model Copyright Auditing via Fingerprinting","created":"2025-08-27","cited_by_count":15,"area":null},{"id":"2409.11055","title":"Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant","created":"2024-09-17","cited_by_count":14,"area":null},{"id":"2501.17771","title":"2SSP: A Two-Stage Framework for Structured Pruning of LLMs","created":"2025-01-29","cited_by_count":12,"area":null},{"id":"2406.12928","title":"Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox","created":"2024-06-15","cited_by_count":11,"area":null},{"id":"2502.06604","title":"Do we really have to filter out random noise in pre-training data for language models?","created":"2025-02-10","cited_by_count":11,"area":null},{"id":"2601.14277","title":"Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct","created":"2026-01-11","cited_by_count":8,"area":null},{"id":"2605.28873","title":"Pre-Registering the Detectable Effect: A Paired-MDE Budget for 4-bit Quantization Benchmarks, with a Pilot Audit","created":"2026-05-25","cited_by_count":8,"area":null},{"id":"2502.16696","title":"Dynamic LLM Routing and Selection based on User Preferences: Balancing Performance, Cost, and Ethics","created":"2025-02-23","cited_by_count":6,"area":null},{"id":"2407.13069","title":"Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation","created":"2024-07-18","cited_by_count":5,"area":null},{"id":"2504.21174","title":"Efficient LLMs with AMP: Attention Heads and MLP Pruning","created":"2025-04-29","cited_by_count":5,"area":null},{"id":"2510.02676","title":"To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration","created":"2025-10-03","cited_by_count":5,"area":null},{"id":"2511.20104","title":"The Devil in the Details: Emergent Misalignment, Format and Coherence in Open-Weights LLMs","created":"2025-11-25","cited_by_count":5,"area":null},{"id":"2604.19884","title":"From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization","created":"2026-04-21","cited_by_count":5,"area":null},{"id":"2607.08734","title":"The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs","created":"2026-07-09","cited_by_count":4,"area":null},{"id":"2410.14766","title":"Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks","created":"2024-10-18","cited_by_count":3,"area":null},{"id":"2501.14499","title":"Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course","created":"2025-01-24","cited_by_count":3,"area":null},{"id":"2504.13932","title":"Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2509.04534","title":"Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation","created":"2025-09-04","cited_by_count":3,"area":null},{"id":"2406.16611","title":"Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2503.13923","title":"ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models","created":"2025-03-18","cited_by_count":2,"area":null},{"id":"2602.02711","title":"Dynamic Mixed-Precision Routing for Efficient Multi-step LLM Interaction","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2605.19999","title":"LLM Benchmark Datasets Should Be Contamination-Resistant","created":"2026-05-19","cited_by_count":2,"area":null},{"id":"2510.20975","title":"REx86: A Local Large Language Model for Assisting in x86 Assembly Reverse Engineering","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2512.23367","title":"Post-Training Quantization of OpenPangu Models for Efficient Deployment on Atlas A2","created":"2025-12-29","cited_by_count":1,"area":null},{"id":"2501.10483","title":"ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature","created":"2025-01-17","cited_by_count":0,"area":null},{"id":"2506.08827","title":"The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2512.19305","title":"CienaLLM: Generative Climate-Impact Extraction from News Articles with Autoregressive LLMs","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2601.07878","title":"Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2601.21219","title":"Soft Quantization: Model Compression Via Weight Coupling","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.00165","title":"Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2605.20193","title":"Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification","created":"2026-04-04","cited_by_count":0,"area":null},{"id":"2606.00312","title":"Stochastic Rounding Increases Small Singular Values","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2607.14181","title":"Quantize with Confidence? An Empirical Study of Quantization for Code Generation","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.08188","title":"Quantization Degradation in Large Language Models: A Signal-Noise Perspective","created":"2026-08-08","cited_by_count":0,"area":null},{"id":"2609.31560","title":"Generalization behavior of OPTQ and the role of regularization","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}