Project Page [This Page] | Paper The first survey for Multimodal Large Language Models (MLLMs). ✨ Welcome to add WeChat ID (wmd_ustc) to join our MLLM communication group! 🌟 🔥🔥🔥 MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Project Page [Leaderb...
Paper structure. The remainder of the paper is organised as follows. In Sect. 2, we review the relevant literature on the use of contextualised embeddings for SSD. Our work builds on the existing WiDiD approach used for SSD (Periti et al. 2022). In particular, we extend WiDiD with novel...
Over the past few years, significant efforts have been made to examine MLLMs from multiple perspectives. This paper presents a comprehensive review of 200+ benchmarks and evaluations for MLLMs, focusing on (1)perception and understanding, (2)cognition and reasoning, (3)specific domains, (4)...
Paper tables with annotated results for UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model
by making the data and the tools they used available. The form of the presentation may be oral or poster, whereas in the proceedings there is no difference between the accepted papers. The submission is NOT anonymous. The LREC-COLING 2024 official format is requested. Each paper will be revi...
Introduction 2. Specification Aims 3. Assessment Objectives 4. Scheme of Assessment 5. Specification Units 6. Further Information and Training for Teachers 7. Reading list AppendicesAppendix A: Key SkillsAppendix B: Notes...
Advances in materials science require leveraging past findings and data from the vast published literature. While some materials data repositories are bein
Gemini-1.0 pro39is the latest general multimodal foundation model developed by Google. Though it is targeted at multimodal scenarios, as reported in the original paper, its language ability even surpasses Google’s former LLM, PaLM 212. Similar to GPT series, its detailed scale and whether it ...
⭐ NLP Paper Summaries by dair-ai [GitHub, 1475 stars] ⭐ Curated collection of papers for the NLP practitioner [GitHub, 1075 stars] ⭐ Papers on Textual Adversarial Attack and Defense [GitHub, 1501 stars] ⭐ Recent Deep Learning papers in NLU and RL by Valentin Malykh [GitHub, 296...
Figure 2: # of papers in each ML area. Also, we plot paper number as a function of publication year (see Figure 3). Figure 3: # of papers vs publication year. In addition, we generate word clouds to show hot topics in these surveys (see Figures 4-5). Figure 4: The word cloud ...