most citedLoRAFusion: Efficient LoRA Fine-Tuning for LLMs

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

PlayGen-MoG: Framework for Diverse Multi-Agent Play Generation via Mixture-of-Gaussians Trajectory Prediction

Kevin Song

Multi-agent trajectory generation in team sports requires models that capture both the diversity of possible plays and realistic spatial coordination between players on plays. Stan…

math.NT2026

Examples of Quadratic Polynomials over with Surjective Arboreal Galois Representations

Luck Henderson, Jamie Juul, Brenner Lattin +2

We explore families of pairs of quadratic polynomials and with being a strictly preperiodic point of to provide infinitely many…

cs.LG2026

Evaluating Model-Free Policy Optimization in Masked-Action Environments via an Exact Blackjack Oracle

Kevin Song

Infinite-shoe casino blackjack provides a rigorous, exactly verifiable benchmark for discrete stochastic control under dynamically masked actions. Under a fixed Vegas-style ruleset…

cs.LG20252 cited

LoRAFusion: Efficient LoRA Fine-Tuning for LLMs

Zhanda Zhu, Qidong Su, Yaoyao Ding +3

Low-Rank Adaptation (LoRA) has become the leading Parameter-Efficient Fine-Tuning (PEFT) method for Large Language Models (LLMs), as it significantly reduces GPU memory usage while…

cs.MA20251 cited

Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents

Kevin Song, Anand Jayarajan, Yaoyao Ding +4

Large Language Models (LLMs) agents augmented with domain tools promise to autonomously execute complex tasks requiring human-level intelligence, such as customer service and digit…

cs.DC2025

Seesaw: High-throughput LLM Inference via Model Re-sharding

Qidong Su, Wei Zhao, Xin Li +6

To improve the efficiency of distributed large language model (LLM) inference, various parallelization strategies, such as tensor and pipeline parallelism, have been proposed. Howe…