7 papers
LiteEvo: Automated, Cost-Efficient Harness Evolution for Generalization to Unseen Tasks
Euntae Choi, Sumin Song, Sungjoo Yoo
An LLM agent is defined by two things: the weights inside its model and the harness of components assembled around it. Harnesses are still handcrafted, and HarnessX, which evolves…
LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss
Euntae Choi, Sumin Song, Sungjoo Yoo
Large reasoning models (LRMs) reach competition-level math and coding accuracy via long autoregressive decoding, making per-token decoding cost a primary deployment concern. Weight…
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
Donghyun Son, Euntae Choi, Sungjoo Yoo
Large Language Model (LLM) inference is typically memory-intensive, especially when processing large batch sizes and long sequences, due to the large size of key-value (KV) cache.…
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
Euntae Choi, Sumin Song, Woosang Lim +1
Large Language Models (LLMs) face deployment challenges due to high computational costs, and while Post-Training Quantization (PTQ) offers a solution, existing rotation-based metho…
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
Euntae Choi, Sumin Song, Woosang Lim +1
We propose Rotate, Clip, and Partition (RCP), a quantization-aware training (QAT) approach that first realizes extreme compression of LLMs with W2A4KV4(2-bit weight, 4-bit activati…
Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering
Euntae Choi, Sungjoo Yoo
We propose two novel ideas (adoption of deferred rendering and mesh-based representation) to improve the quality of 3D Gaussian splatting (3DGS) based inverse rendering. We first r…
Baking Relightable NeRF for Real-time Direct/Indirect Illumination Rendering
Euntae Choi, Vincent Carpentier, Seunghun Shin +1
Relighting, which synthesizes a novel view under a given lighting condition (unseen in training time), is a must feature for immersive photo-realistic experience. However, real-tim…