Eric Müller-Budack

First Call for Papers is posted 📢 🥁 We invite contributions for these two tracks: Track 1: Human-Centred Multimodal Understanding Track 2: Multimodal Understanding Through Impactful World Events Deadline 📅: July 11th, 2025 muws-workshop.github.io/cfp/

@acm_cc Link to TIB AV-Analytics: service.tib.eu/tibava Please register for the tutorial here: forms.gle/HL6QdVWQV9HG7f… Conference registration is open as well: cc.acm.org/2025/registrat…

Join us virtually at @acm_cc Conference on Creativity & Cognition for a tutorial on automatic film & video analysis with TIB AV-Analytics! Its a great opportunity for researchers seeking to leverage cutting-edge methods from computer science including generative AI for videos.

Along with long (8 pages) and short (4 pages) papers, you can introduce your ongoing ideas in the form of 2-page extended abstract. Submission Link: cmt3.research.microsoft.com/WSDM2025/ You can get more details here: sites.google.com/view/dismiss-f…

Wishing you a happy new year! Let's tackle the pressing issue of #FakeNews, #disinformation & #misinformation on the Web together! Join us at the DISMISS-Fake Workshop at #WSDM2025. Paper Deadline: January 13, 2025. sites.google.com/view/dismiss-f…

The #CVPR2024 tutorial videos are now available! youtube.com/playlist?list=…

📅 June 24, 2024 - Updates on Benchmarking LLMs GPT-4-April (@OpenAI ) is the best but recent Claude-3.5-Sonnet has almost caught up (@AnthropicAI ), Gemini 1.5 (Google) are within range but still behind. Llama-3 (@Meta ) is the best open-weight model. huggingface.co/spaces/colab-p…

Presentation of our work with @Gullal7 at #icmr2024 multimodal and multilingual dataset of narratives in news domain. Dataset & code: github.com/sherzod-hakimo…

Presented our interdisciplinary research on "Identification of Speaker Roles and Situation Types in News Videos" in the best paper session @ #ICMR2024 in Phuket, Thailand. In the context of narrativization in news media. #AI #NewsAnalytics #Multimodal #FakeNarratives

It was a pleasure to host this workshop at #icmr2024 in Phuket, 🇹🇭 Thanks to our keynote speakers @neous @delliott for amazing talks, and our invited talks by Tianwei Chen, @_ericmb , Yusuke Hirota, Chihaya Matsuhira, Tianwei Chen were very inspiring 🙌

2024 is a great year for Visual Place Recognition, with 4 VPR papers at CVPR 2024! One of them (SUE) focuses on (still much unexplored) uncertainty for VPR, the other 3 (SALAD, CricaVPR, BoQ) are "pure retrieval" VPR papers. Below my thoughts, praise and criticism on VPR trends:

New (2h13m 😅) lecture: "Let's build the GPT Tokenizer" Tokenizers are a completely separate stage of the LLM pipeline: they have their own training set, training algorithm (Byte Pair Encoding), and after training implement two functions: encode() from strings to tokens, and decode() back from tokens to strings. In this lecture we build from scratch the Tokenizer used in the GPT series from OpenAI.

🚀We are thrilled to release LLaVA-1.6, with improved reasoning, OCR, and world knowledge. It supports higher-res inputs, more tasks, and exceeds Gemini Pro on several benchmarks! 🤯 It maintains the data efficiency of LLaVA-1.5, and LLaVA-1.6-34B is trained ~1 day with 32 A100s. LLaVA-1.6 comes with base LLMs of different sizes: Mistral-7B, Vicuna-7B/13B, Hermes-Yi-34B. Thank you @MistralAI @lmsysorg @01AI_Yi @NousResearch We serve LLaVA-1.6 efficiently with SGLang @lmsysorg. Thank you @lm_zheng @ying11231 @shiyi_c98 for the integration. And big shoutouts to awesome collaborators from the LLaVA team: @imhaotian @ChunyuanLi Yuheng Li @BoLi68567011 @zhang_yuanhan @shengs1123 @yong_jae_lee Blog: llava-vl.github.io/blog/2024-01-3… Demo: llava.hliu.cc Code/Model: github.com/haotian-liu/LL…

The #CLEF2024 #CheckThat!Lab2024 on Checkworthiness, Subjectivity, Persuasion, Roles, Authorities and Adversarial Robustness Multiple lang: Arabic, Bulgarian, English, French, Georgian, German, Greek, Italian, Polish, Portuguese, Russian, Slovene, Spanish, and code-mixed Hindi-English T1: Check-worthiness estimation T2: Subjectivity T3: Persuasion Techniques T4: Detecting hero, villain, and victim from memes T5: Rumor Verification using Evidence from Authorities T6: Robustness of Credibility Assessment with Adversarial Examples More: checkthat.gitlab.io Data/Code: shorturl.at/agtAJ Reg: shorturl.at/ikAMX W/ @clef_initiative, @_albarron_, @preslav_nakov, @giodsm, @tamer_elsayed, @wzaghouani, @MaramHasanain, @Chengkai_Li, @rubenmiguez, Julia Maria Struß, Gautam Kishore Shahi, @mucahidkutlu, @aGalaxy42, Federico Ruggeri, ​​@robikuetcse, @FHaouari @Tanmoy_Chak #checkthatlab2024 #CLEF2024

"Few-Shot Event Classification in Images using Knowledge Graphs for Prompting" hard prompts include knowledge graph information from Wikidata and Wikipedia. (Tahmasebzadeh et al, 2024) openaccess.thecvf.com/content/WACV20… @TIBHannover

Nice work surveying 300+ papers and summarizing research developments to look at in the space of Generative AI. It covers computational challenges, scalability, real-world implications, and the potential for Gen AI to drive progress in fields like healthcare, finance, and education. arxiv.org/abs/2312.10868

Large Language Models (in 2023) An excellent summary of the research progress and developments in LLMs. I appreciate that @hwchung27 made this content publicly available. It's a great way to catch up on some important themes like scaling and optimizing LLMs. talk: youtu.be/dbo3kNKPaUA?fe… slides: #slide=id.g2885e521b53_0_0" target="_blank" rel="nofollow noopener">docs.google.com/presentation/d…

A new issue of Ahead of AI is out! This month, I am covering all the LLM-related busyness on the business side (like OpenAI and Microsoft developing their own AI chips) to new ‘small’ but very capable LLMs like phi and Mistral: magazine.sebastianraschka.com/p/ahead-of-ai-…

⚡ Read the guide to 🔥 Large Language Models (LLMs), including 💯 popular fine-tuning strategies and their 📊 trade-offs. #llm #generativeai

PhD students: Use an agenda for meetings. This helps keep the meeting on track and makes sure you discuss your questions. Download free template buff.ly/3k7WqUX #PhDchat #PhDforum #ECRchat #postdoc #AcademicChatter