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--- nlp:vision_and_language [2025/06/05 04:38] – [Overviews] jmflanig
+++ nlp:vision_and_language [2025/07/03 04:05] (current) – [Overviews] jmflanig
@@ Line 6: / Line 6: @@
   * **Multimodal Large Language Models (MLLMs)**
     * [[https://arxiv.org/pdf/2306.13549|Yin et al 2023 - A Survey on Multimodal Large Language Models]] Comprehensive [[https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models|github]] (continuously updated)
+    * [[https://arxiv.org/pdf/2501.02189|Li et al 2025 - A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges]]
+    * For Visual QA:
+      * [[https://arxiv.org/pdf/2411.17558|Kuang et al 2024 - Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey]]
+    * Evaluation of MLLMs:
+      * [[https://arxiv.org/pdf/2408.15769|Huang & Zhang 2024 - A Survey on Evaluation of Multimodal Large Language Models]]
 ===== Multimodal Foundation Models (Visual Language Models) =====
@@ Line 17: / Line 22: @@
   * [[https://arxiv.org/pdf/2403.13600|Qiao et al 2024 - VL-Mamba: Exploring State Space Models for Multimodal Learning]]
   * [[https://arxiv.org/pdf/2403.05530|Gemini-team 2024 - Gemini 1.5: Unlocking Multimodal Understanding Across Millions of Tokens of Context]]
+  * [[https://arxiv.org/pdf/2405.09818|Meta 2024 - Chameleon: Mixed-Modal Early-Fusion Foundation Models]]
+==== Prompting Methods ====
+  * [[https://arxiv.org/pdf/2310.11441|Yang et al 2023 - Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V]]
 ===== Multimodal Dialog Agents =====