From eb9c3bfc2f36f1e13a2e3d0611d534f1fe2d2064 Mon Sep 17 00:00:00 2001 From: Haotian Liu Date: Thu, 12 Oct 2023 17:34:26 -0700 Subject: [PATCH] Update homepage --- index.html | 61 ++++++++++++++++++++++++++++++++++++++------ static/css/index.css | 6 +++-- 2 files changed, 57 insertions(+), 10 deletions(-) diff --git a/index.html b/index.html index 9928ed4..193c7c1 100644 --- a/index.html +++ b/index.html @@ -114,9 +114,10 @@
-

Visual Instruction Tuning

-

LLaVA: Large Language and Vision Assistant

-
+

LLaVA: Large Language and Vision Assistant

+

Visual Instruction Fine-tuning

+
NeurIPS 2023 (Oral)
+
Haotian Liu*, @@ -128,20 +129,46 @@

LLaVA: Large Language and Vision Assist Yong Jae - Lee, + Lee

-
▶ University of Wisconsin-Madison ▶ Microsoft Research ▶ Columbia University -   *Equal Contribution
+
+ *Equal Contribution +
+ + +
@@ -154,6 +181,15 @@

LLaVA: Large Language and Vision Assist arXiv + + + + + + arXiv (LLaVA-1.5) + + @@ -215,6 +251,8 @@

LLaVA: Large Language and Vision Assist

+ 🔥[NEW!] LLaVA-1.5 achieves SoTA on 11 benchmarks, with just simple modifications to the original LLaVA, utilizes all public data, completes training in ~1 day on a single 8-A100 node, and surpasses methods that use billion-scale data. +

LLaVA represents a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding, achieving impressive chat capabilities mimicking spirits of the multimodal GPT-4 and setting a new state-of-the-art accuracy on Science QA. @@ -565,10 +603,17 @@

Optical character recognition (OCR)

BibTeX


-  @article{liu2023llava,
+  @misc{liu2023improvedllava,
+          author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Lee, Yong Jae},
+          title={Improved Baselines with Visual Instruction Tuning}, 
+          publisher={arXiv:2310.03744},
+          year={2023},
+  }
+
+  @inproceedings{liu2023llava,
     author      = {Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae},
     title       = {Visual Instruction Tuning},
-    publisher   = {arXiv:2304.08485},
+    booktitle   = {NeurIPS},
     year        = {2023}
   }
diff --git a/static/css/index.css b/static/css/index.css index 21076ef..98e22ad 100644 --- a/static/css/index.css +++ b/static/css/index.css @@ -63,11 +63,13 @@ body { .publication-awards { color: #ff3860; - width: fit-content; + /* width: fit-content; */ font-weight: bolder; } -.publication-authors { +.title + .publication-authors, +.subtitle + .publication-authors { + margin-top: -1.25rem; } .publication-authors a {