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← All papersIssue 49 of 176

The week of Mar 4 – Mar 10, 2024

10 papers, hand-picked and summarised.

Claude 3

Claude 3

Anthropic releases the Claude 3 family (Haiku, Sonnet, Opus), with Opus leapfrogging GPT-4 on many standard benchmarks and bringing frontier multimodal capability plus a much larger context window.

01Evaluation
Robust Evaluation of Reasoning

Robust Evaluation of Reasoning

The paper introduces functional benchmarks that parameterize reasoning problems so the same structural question can be re-instantiated with fresh surface forms, then uses them to expose a large "reasoning gap" in frontier LLMs.

02Reasoning
GaLore

GaLore

GaLore (Gradient Low-Rank Projection) reduces optimizer-state memory during LLM training while still permitting full-parameter updates, unlike LoRA-style adapters that restrict learning to a low-rank subspace.

03Memory
Can LLMs Reason and Plan?

Can LLMs Reason and Plan?

Kambhampati's position paper argues that what looks like reasoning and planning in LLMs is better understood as "universal approximate retrieval" powered by web-scale training.

04Reasoning
RAG for AI-Generated Content

RAG for AI-Generated Content

A survey that extends RAG beyond text, showing how retrieval augmentation is being applied across code, image, audio, video, and 3D generation.

05Retrieval
KnowAgent

KnowAgent

KnowAgent improves LLM-based planning agents by explicitly injecting action knowledge - what the actions are and how they relate - rather than letting the LLM invent its own action space at runtime.

06Agents
Sora Overview

Sora Overview

A comprehensive academic review of OpenAI's Sora, tracing the technical ingredients behind the text-to-video "world simulator" and the opportunities/limitations for the next wave of large vision models.

07Safety
SaulLM-7B: LLM for Law

SaulLM-7B: LLM for Law

SaulLM-7B is an open legal-domain LLM built on Mistral 7B and continually pretrained on 30B+ tokens of English legal text, with a companion instruction-tuning recipe.

08Training
Design2Code

Design2Code

Design2Code tackles the front-end engineering problem of turning a visual design into working HTML/CSS and gives the community both a benchmark and strong MLLM baselines.

09Evaluation
TripoSR

TripoSR

TripoSR is a transformer-based single-image 3D reconstruction model that returns a textured mesh in under 0.5 seconds, building on the LRM architecture with a stronger data and training pipeline.

10Training
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