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DAIR.AI · Curated weekly since April 2023Issue 182 · Sep 28 – Oct 4, 2026

AI Papers of the Week

Every paper worth reading in AI, hand-picked one week at a time.

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This week · 10 papersView the full issue →
Applications of Transformers

Applications of Transformers

A new survey highlighting major applications of Transformers across deep learning.

02Architecture
Benchmarking NN Training Algorithms (AlgoPerf)

Benchmarking NN Training Algorithms (AlgoPerf)

A new benchmark for rigorously evaluating optimizers using realistic workloads.

03Evaluation
Unifying LLMs & Knowledge Graphs

Unifying LLMs & Knowledge Graphs

A roadmap for combining LLMs with knowledge graphs for stronger reasoning.

04Retrieval
Augmenting LLMs with Long-term Memory (LongMem)

Augmenting LLMs with Long-term Memory (LongMem)

Enables LLMs to memorize long history via memory-augmented adaptation.

05Memory
TAPIR

TAPIR

Tracks any queried point on any physical surface throughout a video sequence faster than real-time.

06Multimodal
Mind2Web

Mind2Web

A dataset for evaluating generalist web agents with 2,350 tasks across 137 websites and 31 domains.

07Agents
Tracking Everything Everywhere All at Once (OmniMotion)

Tracking Everything Everywhere All at Once (OmniMotion)

Test-time optimization for dense, long-range motion estimation.

08Multimodal
AlphaDev

AlphaDev

DeepMind's deep RL agent discovering faster sorting algorithms from scratch, now in LLVM.

09Reinforcement Learning
Sparse-Quantized Representation (SpQR)

Sparse-Quantized Representation (SpQR)

Tim Dettmers' near-lossless LLM compression technique.

10Efficiency
MusicGen

MusicGen

A simple and controllable model for music generation using a single-stage Transformer.

11Multimodal
Augmenting LLMs with Databases (ChatDB)

Augmenting LLMs with Databases (ChatDB)

Combines an LLM with SQL databases as a symbolic memory framework.

12Memory
Concept Scrubbing in LLM (LEACE)

Concept Scrubbing in LLM (LEACE)

Least-squares Concept Erasure - erases a target concept from every layer of a neural network.

13Safety
Fine-Grained RLHF

Fine-Grained RLHF

Trains LMs with segment-level human feedback rather than whole-response preferences.

14Reinforcement Learning
Hierarchical Vision Transformer (Hiera)

Hierarchical Vision Transformer (Hiera)

Pretrains ViTs with MAE while removing unnecessary multi-stage complexity.

15Architecture
Humor in ChatGPT

Humor in ChatGPT

Explores ChatGPT's capabilities to grasp and reproduce humor.

16Evaluation
Imitating Reasoning Process of Larger LLMs (Orca)

Imitating Reasoning Process of Larger LLMs (Orca)

Microsoft's 13B model that imitates GPT-4's reasoning traces.

17Reasoning
Let's Verify Step by Step

Let's Verify Step by Step

OpenAI's landmark paper on process reward models for mathematical reasoning.

18Reasoning
No Positional Encodings (NoPE)

No Positional Encodings (NoPE)

Shows explicit position embeddings aren't essential for decoder-only Transformers.

19Architecture
BiomedGPT

BiomedGPT

A unified biomedical GPT for vision, language, and multimodal tasks.

20Multimodal
Thought Cloning

Thought Cloning

Imitation learning framework that learns to think as well as act.

21Agents
Fine-Tuning Language Models with Just Forward Passes (MeZO)

Fine-Tuning Language Models with Just Forward Passes (MeZO)

A memory-efficient zeroth-order optimizer for LLM fine-tuning.

22Training
MERT

MERT

An acoustic music understanding model with large-scale self-supervised training.

23Multimodal
Bytes Are All You Need

Bytes Are All You Need

Performs classification directly on file bytes without decoding.

24Training
Direct Preference Optimization (DPO)

Direct Preference Optimization (DPO)

Rafailov et al.'s simpler alternative to RLHF that rivals full RL-based alignment.

25Reinforcement Learning
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