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Collections including paper arxiv:2401.06102

🔍 Daily Picks in Interpretability & Analysis of LMs

Outstanding research in interpretability and evaluation of language models, summarized

Multi-property Steering of Large Language Models with Dynamic Activation Composition

Paper • 2406.17563 • Published 4 days ago • 3
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP

Paper • 2406.12618 • Published 11 days ago • 4
Confidence Regulation Neurons in Language Models

Paper • 2406.16254 • Published 5 days ago • 10
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation

Paper • 2406.13663 • Published 10 days ago • 7

Interesting things.

AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1 • 8
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 573
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Paper • 2402.16840 • Published Feb 26 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 106

Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models

Paper • 2401.06102 • Published Jan 11 • 18
Rethinking Interpretability in the Era of Large Language Models

Paper • 2402.01761 • Published Jan 30 • 19

Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models

Paper • 2401.06102 • Published Jan 11 • 18

Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models

Paper • 2401.06102 • Published Jan 11 • 18

Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models

Paper • 2401.06102 • Published Jan 11 • 18

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 60
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 176
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2 • 51
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Paper • 2401.01325 • Published Jan 2 • 25

The LLM Surgeon

Paper • 2312.17244 • Published Dec 28, 2023 • 9
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62
Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models

Paper • 2401.06102 • Published Jan 11 • 18

Alignment: FineTuning-Preference

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 27
Tailoring Self-Rationalizers with Multi-Reward Distillation

Paper • 2311.02805 • Published Nov 6, 2023 • 2
Ultra-Long Sequence Distributed Transformer

Paper • 2311.02382 • Published Nov 4, 2023 • 2
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Paper • 2309.11235 • Published Sep 20, 2023 • 15

Interpretability

A technical note on bilinear layers for interpretability

Paper • 2305.03452 • Published May 5, 2023 • 1
Interpreting Transformer's Attention Dynamic Memory and Visualizing the Semantic Information Flow of GPT

Paper • 2305.13417 • Published May 22, 2023 • 1
Explainable AI for Pre-Trained Code Models: What Do They Learn? When They Do Not Work?

Paper • 2211.12821 • Published Nov 23, 2022 • 1
The Linear Representation Hypothesis and the Geometry of Large Language Models

Paper • 2311.03658 • Published Nov 7, 2023 • 1

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