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DAIR.AI · Curated weekly since April 2023Issue 184 · Oct 12 – Oct 18, 2026

AI Papers of the Week

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

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Wanda

Wanda

A simple, effective pruning approach for LLMs requiring no retraining.

02Efficiency
AudioPaLM

AudioPaLM

Fuses PaLM-2 and AudioLM into a multimodal architecture supporting speech understanding and generation.

03Multimodal
Voicebox

Voicebox

Meta's all-in-one generative speech model supporting 6 languages and many speech tasks in-context.

04Multimodal
FinGPT

FinGPT

An open-source LLM for the finance sector with a data-centric approach.

05Data
Crowd Workers Widely Use LLMs for Text Production

Crowd Workers Widely Use LLMs for Text Production

Empirical evidence that 33-46% of MTurk crowd workers used LLMs on text tasks.

06Data
Reliability of Watermarks for LLMs

Reliability of Watermarks for LLMs

Studies whether watermarks survive human rewriting and LLM paraphrasing.

07Safety
Applications of Transformers

Applications of Transformers

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

08Architecture
Benchmarking NN Training Algorithms (AlgoPerf)

Benchmarking NN Training Algorithms (AlgoPerf)

A new benchmark for rigorously evaluating optimizers using realistic workloads.

09Evaluation
Unifying LLMs & Knowledge Graphs

Unifying LLMs & Knowledge Graphs

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

10Retrieval
Augmenting LLMs with Long-term Memory (LongMem)

Augmenting LLMs with Long-term Memory (LongMem)

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

11Memory
TAPIR

TAPIR

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

12Multimodal
Mind2Web

Mind2Web

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

13Agents
Tracking Everything Everywhere All at Once (OmniMotion)

Tracking Everything Everywhere All at Once (OmniMotion)

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

14Multimodal
AlphaDev

AlphaDev

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

15Reinforcement Learning
Sparse-Quantized Representation (SpQR)

Sparse-Quantized Representation (SpQR)

Tim Dettmers' near-lossless LLM compression technique.

16Efficiency
MusicGen

MusicGen

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

17Multimodal
Augmenting LLMs with Databases (ChatDB)

Augmenting LLMs with Databases (ChatDB)

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

18Memory
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.

19Safety
Fine-Grained RLHF

Fine-Grained RLHF

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

20Reinforcement Learning
Hierarchical Vision Transformer (Hiera)

Hierarchical Vision Transformer (Hiera)

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

21Architecture
Humor in ChatGPT

Humor in ChatGPT

Explores ChatGPT's capabilities to grasp and reproduce humor.

22Evaluation
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.

23Reasoning
Let's Verify Step by Step

Let's Verify Step by Step

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

24Reasoning
No Positional Encodings (NoPE)

No Positional Encodings (NoPE)

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

25Architecture
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