Eric Müller-Budack

Postdoctoral researcher @TIBHannover

[MUWS Workshop 2025 @ ACM Multimedia @MuwsWorkshop]

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

https://t.co/z6kNI235q4

[Eric Müller-Budack @_ericmb]

@acm_cc Link to TIB AV-Analytics: https://t.co/IxNLN9EvhB

Please register for the tutorial here: https://t.co/jWQpRaJeAy

Conference registration is open as well: https://t.co/TPR2InlVEn

[Eric Müller-Budack @_ericmb]

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.

[Eric Müller-Budack @_ericmb]

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: https://t.co/Q0dUcp0PmU

You can get more details here: https://t.co/RfxHiGwVDm

[Eric Müller-Budack @_ericmb]

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.

https://t.co/WUqZ8yVO4X

[Eric Müller-Budack @_ericmb]

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.

https://t.co/WUqZ8yVO4X

[#CVPR2026 @CVPR]

The #CVPR2024 tutorial videos are now available!

https://t.co/COrwEHbR89

[Sherzod Hakimov @SherzodHakimov]

📅 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.

https://t.co/FbR5u5EnOF

[Sherzod Hakimov @SherzodHakimov]

Presentation of our work with @Gullal7 at #icmr2024 multimodal and multilingual dataset of narratives in news domain.
Dataset & code:
https://t.co/XmwjJp5Nrk

[Gullal S. Cheema @Gullal7]

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

[MUWS Workshop 2025 @ ACM Multimedia @MuwsWorkshop]

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 🙌

[Gabriele Berton @gabriberton]

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:

[Andrej Karpathy @karpathy]

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.

[Haotian Liu @imhaotian]

🚀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: https://t.co/Mjd609CY2r
Demo: https://t.co/7VxuVA0gPk
Code/Model: https://t.co/gASnLmaUGY

[Firoj Alam @firojalam04]

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: https://t.co/Y9cjAEEh1B
Data/Code: https://t.co/KxLlptxjbk
Reg: https://t.co/a4TPlpp7Tp

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

[WikiResearch @WikiResearch]

"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)

https://t.co/4BZd0SaTFZ

@TIBHannover

[elvis @omarsar0]

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.

https://t.co/iuVYqqCrWL

[elvis @omarsar0]

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: https://t.co/KEwnxvo0eT
slides: https://t.co/DtkPnzuMzM

[Sebastian Raschka @rasbt]

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: https://t.co/fcyRIpEib0

[Weights & Biases @wandb]

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

[Hugh Kearns @ithinkwellHugh]

PhD students: Use an agenda for meetings. This helps keep the meeting on track and makes sure you discuss your questions. Download free template https://t.co/7h0ZjNRQs1 #PhDchat #PhDforum #ECRchat #postdoc #AcademicChatter