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[P] PCA before truncation makes non-Matryoshka embeddings compressible: results on BGE-M3 [P]

Applying PCA as a rotation step before naively truncating embeddings from non-Matryoshka models like BGE-M3 can recover much of the retrieval quality that is otherwise lost when simply chopping dim...

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Parax: Parametric Modeling in JAX + Equinox [P]

DGX agent

**Paramax** (also referred to as 'Parax' in the Reddit post title) is a small Python library by Daniel Ward that provides parameterizations and parameter constraints for JAX PyTrees, designed to wo...

researchr-machinelearning

9 Apr 2026

Agents

Studying Sutton and Barto's RL book and its connections to RL for LLMs (e.g., tool use, math reasoning, agents, and so on)? [D]

A Reddit discussion thread on r/MachineLearning in which practitioners explore how foundational concepts from Sutton and Barto's *Reinforcement Learning: An Introduction* — including MDPs, policy g...

agentsr-machinelearning

Local Ai

Tried running LLMs locally to save API costs… ended up waiting 13 minutes for ONE response 🤡

A Reddit post in r/ollama describes a user's experience attempting to run LLMs locally via Ollama to avoid cloud API costs, only to encounter severely degraded performance — waiting 13 minutes for ...

local-air-ollama

Local Ai

Use the Same Model Across Ollama, LM Studio, Jan, and your Favorite Local AI Apps

Local AI tools such as Ollama, LM Studio, and Jan all rely on the same underlying inference engine (llama.cpp) and support compatible model formats (primarily GGUF), meaning a single downloaded mod...

local-air-ollama

Local Ai

Using Ollama Gemma4 models via OpenWebUI on my phone and it’s been a good experience

Users are running Google's Gemma 4 models locally via Ollama and accessing them on their phones through Open WebUI, reporting a positive experience. Since Ollama doesn't run natively on iOS or And...

local-air-ollama

[D] Dealing with an unprofessional reviewer using fake references and personal attacks in ICML26

A Reddit discussion on r/MachineLearning describes a researcher's experience with an ICML 2026 reviewer who cited fabricated references and made personal attacks in their review. The post reflects ...

[D] How are reviewers able to get away without providing acknowledgement in ICML 2026?

At ICML 2026, reviewers are officially required to acknowledge authors' rebuttals — starting March 31, if authors have posted a response to an official review, the reviewer is required to acknowle...

Free tool I built to score dataset quality (LQS) — feedback welcome [D]

The search results did not return the specific Reddit post content. Based on what was retrieved, I'm unable to produce a fully sourced factual summary of that particular Reddit thread about the LQS...

ICML 2026 am I cooked? [D]

I wasn't able to retrieve the specific Reddit thread content from that URL. Reddit threads often require direct access or login to view, and my web search did not return the content of that specifi...

Looking for help with IEEE PDF eXpress [D]

I was unable to retrieve the specific Reddit thread content from the provided URL. The search results did not surface the actual post or its discussion. I can provide a general summary based on the...

[P] Building a LLM from scratch with Mary Shelley's 'Frankenstein' (on Kaggle)

A beginner-friendly tutorial demonstrating how to build a ~3.2M parameter LLM from scratch using Mary Shelley's *Frankenstein* as the sole training corpus, designed to run on Kaggle's free GPU in u...

[P] citracer: a small CLI tool to trace where a concept comes from in a citation graph

`citracer` is a small Python CLI tool available on PyPI that traces citation chains for any keyword across research papers, helping researchers identify where a concept originates in a citation gra...