AI Papers Podcast
@aipaperspodcast
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A digestible daily update on the latest AI Research Papers. Brought to you by @pocketpodapp
Joined June 2023
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We made a special story for the AI Papers Podcast using the new Sonic model from
@cartesia_ai
and talked about how their impressive state space model approach compares to transistor based model architectures.
Congrats to
@krandiash
,
@_albertgu
,
@bclyang
and the rest of the team
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How overfit are popular LLMs on public benchmarks?
New research from
@scale_AI
tries to figure this out with a new evaluation benchmark - GSM1K
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Apple announced new Siri features and Apple Intelligence today, Interestingly, Apple already released a paper, titled "Ferret-UI," on how it all works - a multimodal vision-language model capable of understanding widgets, icons, and text on an iOS mobile screen, and reasoning
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Face-Adapter, a breakthrough in face reenactment and swapping, using pre-trained diffusion models for superior precision and fidelity.
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Octopus v2: On-device language model for super agent
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Keeping up with latest AI research can be hard... We wanted to make it a bit easier to get a quick update every day
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5
Can large language models (LLMs) can understand complex thoughts and emotions like humans do? Can they understand and predict likely thoughts of others?
1
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5
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency
Determines Multimodal Model Performance:
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5
Direct Nash Optimization: Teaching Language Models to Self-Improve with
General Preferences
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4
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
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4
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
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LLMs face challenges like outdated information and hallucinations, limiting their use in knowledge-intensive tasks. MetRag, a new framework, enhances RAG by combining similarity and utility-based models with an LLM for smarter, more efficient knowledge processing
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MotionClone, a training-free framework that clones motions from a reference video for text-to-video generation. Using temporal attention and location-aware semantic guidance, MotionClone ensures superior motion fidelity, textual alignment, and temporal consistency.
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Advancing LLM Reasoning Generalists with Preference Trees
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AutoCrawler, the Next-Gen Tool for Efficient Web Crawling
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Llama-3: What You Need to Know about Meta's Latest Open Source Release
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3
Introducing STT - a cutting-edge tracking model for autonomous driving, mastering both object tracking and state estimation
1
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3
Using latent diffusion models to reconstruct complex, high-quality music from EEG recordings - advancing neural decoding and brain-computer interfaces.
1
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3
Can a new image tokenization method revolutionize high-resolution image synthesis? TiTok, a Transformer-based tokenizer, reduces a 256x256 image to just 32 tokens, achieving 410x faster generation while surpassing state-of-the-art models in quality.
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WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents
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Listen to the full episode -->
or read the paper -->
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Kaleido enhances image diversity from textual descriptions by using autoregressive latent priors, generating abstract intermediary representations. This approach broadens the variety of generated images while maintaining high quality and adherence to guidance.
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List to the full episode -->
or read the paper -->
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2
Listen to the full episode -->
or read the paper -->
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2
Exploring multi-token prediction for higher efficiency in language models. with a new paper from
@AIatMeta
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2
Ag2Manip: Universalizing Robotic Manipulation
A framework for autonomous robotic systems, offering agent-agnostic visual and action representations to enhance generalizability and performance across simulated and real-world manipulation tasks.
1
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Repurposing video content is challenging due to complex searches in large libraries. VLQA is a new system that uses RAG with large language models to retrieve and integrate video moments, improving AI-assisted video content creation.
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SqueezeTime is a lightweight video recognition network for mobile devices, saving resources by combining time and channel dimensions. It enhances motion understanding, making it faster and more accurate.
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Listen to the full epsiode ->
or read the paper -->
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2
Check out the full episode —>
Or read the full paper —>
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2
Listen to the full episode ->
Read the full paper ->
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2
Check out the Full Epsiode -->
or the full paper -->
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2
@airesearchtools
@pocketpodapp
No better way to keep up the latest AI research while on the go 🔥
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The Phased Consistency Model (PCM) addresses key limitations of the Latent Consistency Model (LCM), significantly improving text-conditioned image and video generation. PCM outperforms LCM and achieves state-of-the-art results across multiple generation steps.
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Listen to the full podcast -->
Or read the full paper -->
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2
Listen to the full episode ->
Read the full paper ->
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DevEval is a benchmark designed to assess the coding capabilities of Large Language Models (LLMs) by better aligning with actual real world use cases.
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Listen to full episode ->
Read full paper ->
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Listen to the full episode ->
Read the full paper ->
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Listen to the full episode ->
Read the full paper ->
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Checkout the podcast on Spotify -
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Listen to full episode ->
Read full paper ->
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Listen to the full podcast ->
Read the full paper ->
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Text-driven Photorealistic Material Painting for 3D Shapes
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Scaling Instructable Agents Across Many Simulated Worlds
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MotionLLM is a new framework that enhances human behavior understanding by merging video and motion data to analyze body dynamics and semantics. It integrates various data into one model, offering deep spatial-temporal insights.
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Better & Faster Large Language Models via Multi-token Prediction
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Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections
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Listen to the full episode ->
Read the full paper ->
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Seed-TTS introduces groundbreaking text-to-speech technology that creates speech nearly indistinguishable from human voices, offering unparalleled control over speech attributes and enhancing applications in voice technologies and interactive systems.
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