Tyler Cowen
[This guy](https://en.wikipedia.org/wiki/Tyler_Cowen) has been on a ton of podcasts, recurring guest on NPR's money shows for example, and is presented as a entrepreneur/visionary in the field of econ...
WeDLM 8B Tencent Diffusion Language Model Outperforms Qwen3
Tencent released WeDLM-8B, an 8-billion-parameter language model built on diffusion technology that enables parallel decoding. It beats Qwen3-8B-Instruct on five out of six major benchmarks. The real...
Token-Oriented Object Notation vs JSON: A Benchmark of Plain and Constrained Decoding Gene…
Recently presented Token-Oriented Object Notation (TOON) aims to replace JSON as a serialization format for passing structured data to LLMs with significantly reduced token usage. While showing solid accuracy in LLM comprehension, there is a lack of...
Optimal Decoding with the Worm
We propose a new decoder for ``matchable'' qLDPC codes that uses a Markov-Chain Monte-Carlo algorithm -- called the \emph{worm algorithm} -- to approximately compute the probabilities of logical error classes given a syndrome. The algorithm hence per...
ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Cross-subject generalization in EEG-based brain-computer interfaces (BCIs) remains challenging due to individual variability in neural signals. We investigate whether spectral representations offer more stable features for cross-subject transfer than...
Listening Between the Lines: Decoding Podcast Narratives with Language Modeling
Podcasts have become a central arena for shaping public opinion, making them a vital source for understanding contemporary discourse. Their typically unscripted, multi-themed, and conversational style offers a rich but complex form of data. To analyz...
DLLM Agent: See Farther, Run Faster
Diffusion large language models (DLLMs) have emerged as an alternative to autoregressive (AR) decoding with appealing efficiency and modeling properties, yet their implications for agentic multi-step decision making remain underexplored. We ask a con...
[1] Power Track Protocol: Reverse Engineering the Market Manipulation in GME
>**TL;DR:** I uncovered that GameStop’s price often moved according to hidden algorithmic “Power Tracks” – structured trading bursts encoding future price moves. By decoding these tracks, I...
AOMediaCodec/av1-spec
AV1 Bitstream & Decoding Process Specification (⭐ 358)
An Empirical Study of Reducing AV1 Decoder Complexity and Energy Consumption via Encoder P…
The widespread adoption of advanced video codecs such as AV1 is often hindered by their high decoding complexity, posing a challenge for battery-constrained devices. While encoders can be configured to produce bitstreams that are decoder-friendly, es...
yekeren/ADVISE-Image_ads_understanding
ADVISE model for the Automatic Understanding of Visual Advertisements challenge. Please refer to our ECCV paper "ADVISE: Symbolism and External Knowledge for Decoding Advertisements". (⭐ 26)
Tight List-Sizes for Oblivious AVCs under Constraints
We study list-decoding over adversarial channels governed by oblivious adversaries (a.k.a. oblivious Arbitrarily Varying Channels (AVCs)). This type of adversaries aims to maliciously corrupt the communication without knowing the actual transmission...
Raspberry Pi 5 has no hardware video encoding and only HEVC decoding
Points: 325 | Comments: 261 | Author: InsomniacL
Capacity achieving multiwrite WOM codes
In this paper we give an explicit construction of a capacity achieving family of binary t-write WOM codes for any number of writes t, that have a polynomial time encoding and decoding algorithms. The block length of our construction is N=(t/ε)^{O(t/...
Reuters: Kamala Harris could join podcaster Joe Rogan for an interview - sources
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Low Complexity Differentiating Adaptive Erasure Codes for Multimedia Wireless Broadcast
Based on the erasure channel FEC model as defined in multimedia wireless broadcast standards, we illustrate how doping mechanisms included in the design of erasure coding and decoding may improve the scalability of the packet throughput, decrease ove...
DMR Decoding by using Python and DSD+ - RadioReference.com …
Nov 3, 2025 · I’m currently developing a Python-based project that processes .wav files containing DMR IQ data. In this setup, I apply various signal settings and use DSD+ on the backend to decode the …
Steering Multimodal Large Language Models Decoding for Context-Aware Safety
Multimodal Large Language Models (MLLMs) are increasingly deployed in real-world applications, yet their ability to make context-aware safety decisions remains limited. Existing methods often fail to balance oversensitivity (unjustified refusals of b...
hao-ai-lab/LookaheadDecoding
[ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding (⭐ 1317)
beatgammit/base64-js
Base64 encoding/decoding in pure JS (⭐ 885)
Speculative Decoding is AWESOME with Llama.cpp!
I tried it earlier this year with LM Studio and was incredibly disappointed. The gains were marginal at best, and sometimes slowed down inference, and I quickly abandoned it. Fast forward to this wee...
KordingLab/Neural_Decoding
A python package that includes many methods for decoding neural activity (⭐ 468)
Nice interactive explanation of Speculative Decoding
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Decoded - Wikipedia
novel Decoder (disambiguation) Decoding (disambiguation) Code (disambiguation) This disambiguation page lists articles associated with the title Decoded. If
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Gui…
Large Vision-Language Models (LVLMs) are susceptible to object hallucinations, an issue in which their generated text contains non-existent objects, greatly limiting their reliability and practicality. Current approaches often rely on the model's tok...
xjdr-alt/entropix
Entropy Based Sampling and Parallel CoT Decoding (⭐ 3433)
gcanti/io-ts
Runtime type system for IO decoding/encoding (⭐ 6822)
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation
Topological error correcting codes, and particularly the surface code, currently provide the most feasible roadmap towards large-scale fault-tolerant quantum computation. As such, obtaining fast and flexible decoding algorithms for these codes, withi...
Improved decoding
Basically I was bored and wanted to try the alpha version where MTK performance is improved, To my surprise, using a junk pc ando phone(host and client(Both via Wi-Fi),) I got a very good improvement ...
Decoding the telephony signals in Pink Floyd's 'The Wall'
Points: 417 | Comments: 131 | Author: matthiasl
Decoder - Wikipedia
German film Decoding methods Code (disambiguation) Recode (disambiguation) This disambiguation page lists articles associated with the title Decoder. If an
High-Throughput Split-Tree Architecture for Nonbinary SCL Polar Decoder
Nonbinary polar codes defined over Galois field GF(q) have shown improved error-correction performance than binary polar codes using successive-cancellation list (SCL) decoding. However, nonbinary operations are complex and a direct-mapped decoder re...
kir1994/LDPC
Nonbinary LDPC codes encoding and decoding implementation (⭐ 13)
Decoding Frequency Permutation Arrays under Infinite norm
A frequency permutation array (FPA) of length $n=mλ$ and distance $d$ is a set of permutations on a multiset over $m$ symbols, where each symbol appears exactly $λ$ times and the distance between any two elements in the array is at least $d$. FPA...
Unique-Neighbor-Like Expansion and Group-Independent Cosystolic Expansion
In recent years, high dimensional expanders have been found to have a variety of applications in theoretical computer science, such as efficient CSPs approximations, improved sampling and list-decoding algorithms, and more. Within that, an important...
Lex disagreeing with historian Jeremi Suri about J6
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smart-lty/nano-PEARL
Draft-Target Disaggregation LLM Serving System via Parallel Speculative Decoding. (⭐ 172)
Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models
This paper focuses on monolithic Multimodal Large Language Models (MLLMs), which integrate visual encoding and language decoding into a single model. Existing structures and pre-training strategies for monolithic MLLMs often suffer from unstable opti...
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding
Modern large language model (LLM) applications exhibit diverse service-level objectives (SLOs), from low-latency requirements in interactive coding assistants to more relaxed constraints in data wrangling tasks. Existing LLM serving systems, which re...
Decoding facebook's blob video url - Stack Overflow
Facebook downloads the audio and the video separately, so get the audio link from the google chrome inspector, by right click on the video and choosing inspect ,going to Inspector, Network Tab, and …