Postdoctoral researcher @TIBHannover
Hannover, Germany
Joined August 2017
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- Following130
- Followers71
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Eric Müller-Budack retweeted
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/
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.
Link to TIB AV-Analytics: service.tib.eu/tibava
Please register for the tutorial here: forms.gle/HL6QdVWQV9HG7fN38
Conference registration is open as well: cc.acm.org/2025/registration…
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/…
You can get more details here: sites.google.com/view/dismis…
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/dismis…
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/dismis…
Eric Müller-Budack retweeted
The #CVPR2024 tutorial videos are now available!
youtube.com/playlist?list=PL…
Eric Müller-Budack retweeted
📅 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-…
Eric Müller-Budack retweeted
Presentation of our work with @Gullal7 at #icmr2024 multimodal and multilingual dataset of narratives in news domain.
Dataset & code:
github.com/sherzod-hakimov/r…
Eric Müller-Budack retweeted
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
Eric Müller-Budack retweeted
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:
Eric Müller-Budack retweeted
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.
Eric Müller-Budack retweeted
🚀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…
Demo: llava.hliu.cc/
Code/Model: github.com/haotian-liu/LLaVA
Eric Müller-Budack retweeted
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
Eric Müller-Budack retweeted
"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/conten…
@TIBHannover
Eric Müller-Budack retweeted
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
Eric Müller-Budack retweeted
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?feature…
slides: docs.google.com/presentation…
Eric Müller-Budack retweeted
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.co…
Eric Müller-Budack retweeted
⚡ Read the guide to 🔥 Large Language Models (LLMs), including 💯 popular fine-tuning strategies and their 📊 trade-offs. #llm #generativeai
Eric Müller-Budack retweeted
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
