BEAVER: An Efficient Deterministic LLM Verifier
Paper • 2512.05439 • Published • 36
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tarsur909
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tarsur909
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tarsur909
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papers 11 months ago
VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation
Paper • 2504.15659 • Published
SweRank: Software Issue Localization with Code Ranking
Paper • 2505.07849 • Published • 10
Improving Assembly Code Performance with Large Language Models via Reinforcement Learning
Paper • 2505.11480 • Published • 8
SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
Paper • 2505.14615 • Published • 1
DINGO: Constrained Inference for Diffusion LLMs
Paper • 2505.23061 • Published • 31
tarsur909
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papers about 1 year ago
IterGen: Iterative Structured LLM Generation
Paper • 2410.07295 • Published • 1
Tamper-Resistant Safeguards for Open-Weight LLMs
Paper • 2408.00761 • Published
CoRNStack: High-Quality Contrastive Data for Better Code Ranking
Paper • 2412.01007 • Published • 1
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
Paper • 2503.23145 • Published • 35
CRANE: Reasoning with constrained LLM generation
Paper • 2502.09061 • Published • 21
revanth1996
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tarsur909
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tarsur909
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Post
ICYMI! Nomic Embed v1.5: Resizable Production Embeddings with Matryoshka Representation Learning
- Variable embedding dimension from 64 <-> 768
- Outperforms text-embedding-ada-002 while achieving a 3x memory reduction
- Day 1 integrations with Langchain, LlamaIndex, MongoDB, and Sentence Transformers
Check out
nomic-ai/nomic-embed-text-v1.5 for the model weights.
Technical report: https://static.nomic.ai/reports/2024_Nomic_Embed_Text_Technical_Report.pdf
Blog Post: https://blog.nomic.ai/posts/nomic-embed-matryoshka
Original Tweet Thread: https://x.com/nomic_ai/status/1757782157374734665?s=20
- Variable embedding dimension from 64 <-> 768
- Outperforms text-embedding-ada-002 while achieving a 3x memory reduction
- Day 1 integrations with Langchain, LlamaIndex, MongoDB, and Sentence Transformers
Check out
nomic-ai/nomic-embed-text-v1.5 for the model weights.
Technical report: https://static.nomic.ai/reports/2024_Nomic_Embed_Text_Technical_Report.pdf
Blog Post: https://blog.nomic.ai/posts/nomic-embed-matryoshka
Original Tweet Thread: https://x.com/nomic_ai/status/1757782157374734665?s=20