Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
arxiv.org·18h
🔧Systems-level optimizations for LLM serving
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.org·18h
🔧Systems-level optimizations for LLM serving
TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
arxiv.org·18h
🧠Large Language Models (LLMs)
Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning
arxiv.org·18h
🧠Large Language Models (LLMs)
Confidence-Diversity Calibration of AI Judgement Enables Reliable Qualitative Coding
arxiv.org·18h
🧠Large Language Models (LLMs)
Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
arxiv.org·18h
🧠Large Language Models (LLMs)
MOPrompt: Multi-objective Semantic Evolution for Prompt Optimization
arxiv.org·18h
💬Prompt optimizations for LLM serving
AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization
arxiv.org·18h
🧠Large Language Models (LLMs)
BOOST: Bayesian Optimization with Optimal Kernel and Acquisition Function Selection Technique
arxiv.org·18h
📊AI Performance Profiling
L3M+P: Lifelong Planning with Large Language Models
arxiv.org·18h
🧠Large Language Models (LLMs)
A Methodological Framework for LLM-Based Mining of Software Repositories
arxiv.org·18h
🧠Large Language Models (LLMs)
Recognising, Anticipating, and Mitigating LLM Pollution of Online Behavioural Research
arxiv.org·18h
🧠Large Language Models (LLMs)
Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges
arxiv.org·1d
🧠Large Language Models (LLMs)
ProCut: LLM Prompt Compression via Attribution Estimation
arxiv.org·18h
💬Prompt optimizations for LLM serving
Agent-Based Feature Generation from Clinical Notes for Outcome Prediction
arxiv.org·18h
🤖Agents using LLMs
An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learning
arxiv.org·18h
🤖Agents using LLMs
A Reward-Directed Diffusion Framework for Generative Design Optimization
arxiv.org·18h
🔍Retrieval-augmented generation
Accelerating multiparametric quantitative MRI using self-supervised scan-specific implicit neural representation with model reinforcement
arxiv.org·18h
🔢Quantization of LLMs
PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning
arxiv.org·1d
🧠Large Language Models (LLMs)
CAPO: Towards Enhancing LLM Reasoning through Verifiable Generative Credit Assignment
arxiv.org·18h
🧠Large Language Models (LLMs)