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← All papersIssue 47 of 176

The week of Feb 19 – Feb 25, 2024

10 papers, hand-picked and summarised.

Stable Diffusion 3

Stable Diffusion 3

Stability AI previews Stable Diffusion 3, a suite of image-generation models from 800M to 8B parameters that shifts to a diffusion-transformer backbone with flow matching.

01Training
Gemma

Gemma

Google DeepMind releases Gemma, a family of open models (2B and 7B) built from the same research stack as Gemini and shipped with both base and instruction-tuned variants.

02Reinforcement Learning
LLMs for Data Annotation

LLMs for Data Annotation

A survey that maps the rapidly growing literature on using LLMs to generate, evaluate, and learn from data annotations.

03Data
GRIT

GRIT

GRIT (Generative Representational Instruction Tuning) trains a single LLM to handle both generative and embedding tasks, switching behavior based on instructions.

04Retrieval
LoRA+

LoRA+

LoRA+ is a minimal one-line change to LoRA: use different learning rates for the down-projection (A) and up-projection (B) matrices to restore feature learning at large width.

05Training
Back to Basics: Revisiting REINFORCE in RLHF

Back to Basics: Revisiting REINFORCE in RLHF

Cohere researchers argue that PPO is overkill for RLHF and that a simpler REINFORCE-style estimator works better in practice.

06Reinforcement Learning
Recurrent Memory Finds What LLMs Miss

Recurrent Memory Finds What LLMs Miss

Introduces BABILong, a new long-context benchmark, and shows that transformers with recurrent memory can handle sequences far beyond vanilla LLMs.

07Memory
When is Tree Search Useful for LLM Planning?

When is Tree Search Useful for LLM Planning?

Ohio State + OSU analyze multi-step LLM planning as a generator/discriminator/planner system and argue that current LLM discriminators make tree search a poor choice in practice.

08Agents
Chain-of-Thought Reasoning Without Prompting

Chain-of-Thought Reasoning Without Prompting

DeepMind shows that LLMs often *already* emit chain-of-thought reasoning in alternative decoding paths, and that selecting those paths via confidence lifts reasoning accuracy with no prompt engineering.

09Reasoning
OpenCodeInterpreter

OpenCodeInterpreter

OpenCodeInterpreter is an open-source family of code-execution LLM systems that iteratively refine code using runtime feedback, closing the gap with GPT-4's proprietary Code Interpreter.

10Agents
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