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🧠 LLMs
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large language models, GPT, transformers, fine-tuning
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187327
posts in
17.8
ms
itayinbarr/little-coder
: A coding agent optimized to smaller LLMs
⚙️
Systems Programming
github.com
·
3d
·
Hacker News
TLPO
: Token-Level Policy Optimization for
Mitigating
Language Confusion in Large Language Models
🤖
AI Agents
arxiv.org
·
23h
Structural
Generalization
on
SLOG
without Hand-Written Rules
🧑💻
Computer Science
arxiv.org
·
23h
MoRFI
:
Monotonic
Sparse Autoencoder Feature Identification
🗄️
Vector Databases
arxiv.org
·
23h
CoQuant
: Joint Weight-Activation
Subspace
Projection for Mixed-Precision LLMs
🗄️
Vector Databases
arxiv.org
·
23h
LLM
Psychosis
: A Theoretical and
Diagnostic
Framework for Reality-Boundary Failures in Large Language Models
🤖
AI Agents
arxiv.org
·
23h
Select to Think: Unlocking
SLM
Potential with Local
Sufficiency
🤖
AI Agents
arxiv.org
·
23h
Information
Extraction
from Electricity
Invoices
with General-Purpose Large Language Models
🗄️
Vector Databases
arxiv.org
·
23h
Associative-State
Universal Transformers: Sparse Retrieval Meets Structured
Recurrence
🗄️
Vector Databases
arxiv.org
·
23h
Naamah
: A Large Scale Synthetic Sanskrit NER Corpus via
DBpedia
Seeding and LLM Generation
🗄️
Vector Databases
arxiv.org
·
23h
A Survey on Split Learning for LLM
Fine-Tuning
: Models, Systems, and Privacy
Optimizations
🗄️
Vector Databases
arxiv.org
·
2d
Factorized
Latent
Reasoning for LLM-based Recommendation
🗄️
Vector Databases
arxiv.org
·
23h
Doing More With Less: Revisiting the
Effectiveness
of LLM
Pruning
for Test-Time Scaling
🗄️
Vector Databases
arxiv.org
·
1d
EvoSelect
: Data-Efficient LLM Evolution for
Targeted
Task Adaptation
🗄️
Vector Databases
arxiv.org
·
23h
Network Edge Inference for Large Language Models:
Principles
,
Techniques
, and Opportunities
🤖
AI Agents
arxiv.org
·
2d
ProMax
: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for
Recommender
Systems
🗄️
Vector Databases
arxiv.org
·
23h
Delineating
Knowledge
Boundaries
for Honest Large Vision-Language Models
🗄️
Vector Databases
arxiv.org
·
23h
G-Loss:
Graph-Guided
Fine-Tuning
of Language Models
🗄️
Vector Databases
arxiv.org
·
1d
COPUS
: Co-adaptive
Parallelism
and Batch Size Selection in Large Language Model Training
⚙️
Systems Programming
arxiv.org
·
23h
Pref-CTRL
: Preference Driven LLM Alignment using Representation Editing
🗄️
Vector Databases
arxiv.org
·
2d
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