Forklift: An Extensible Neural Lifter
Fuente:
arXiv
Guardado en:
| Autores principales: | Armengol-Estapé, Jordi, Rocha, Rodrigo C. O., Woodruff, Jackson, Minervini, Pasquale, O'Boyle, Michael F. P. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly
por: Armengol-Estapé, Jordi, et al.
Publicado: (2023)
por: Armengol-Estapé, Jordi, et al.
Publicado: (2023)
What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces
por: Armengol-Estapé, Jordi, et al.
Publicado: (2025)
por: Armengol-Estapé, Jordi, et al.
Publicado: (2025)
LLMs versus the Halting Problem: Characterizing Program Termination Reasoning
por: Sultan, Oren, et al.
Publicado: (2026)
por: Sultan, Oren, et al.
Publicado: (2026)
Probing the Emergence of Cross-lingual Alignment during LLM Training
por: Wang, Hetong, et al.
Publicado: (2024)
por: Wang, Hetong, et al.
Publicado: (2024)
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
por: Ghazaryan, Gayane, et al.
Publicado: (2024)
por: Ghazaryan, Gayane, et al.
Publicado: (2024)
Searching for Programmatic Policies in Semantic Spaces
por: Moraes, Rubens O., et al.
Publicado: (2024)
por: Moraes, Rubens O., et al.
Publicado: (2024)
Mixtures of In-Context Learners
por: Hong, Giwon, et al.
Publicado: (2024)
por: Hong, Giwon, et al.
Publicado: (2024)
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus
por: Rocha, Filipe Marinho, et al.
Publicado: (2024)
por: Rocha, Filipe Marinho, et al.
Publicado: (2024)
Generating Pragmatic Examples to Train Neural Program Synthesizers
por: Vaduguru, Saujas, et al.
Publicado: (2023)
por: Vaduguru, Saujas, et al.
Publicado: (2023)
SoD$^2$: Statically Optimizing Dynamic Deep Neural Network
por: Niu, Wei, et al.
Publicado: (2024)
por: Niu, Wei, et al.
Publicado: (2024)
FLARE: Faithful Logic-Aided Reasoning and Exploration
por: Arakelyan, Erik, et al.
Publicado: (2024)
por: Arakelyan, Erik, et al.
Publicado: (2024)
From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop
por: de la Torre, Jordi
Publicado: (2025)
por: de la Torre, Jordi
Publicado: (2025)
Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard
por: Topsakal, Oguzhan, et al.
Publicado: (2024)
por: Topsakal, Oguzhan, et al.
Publicado: (2024)
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
por: Sayin, Burcu, et al.
Publicado: (2024)
por: Sayin, Burcu, et al.
Publicado: (2024)
A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression
por: Devoto, Alessio, et al.
Publicado: (2024)
por: Devoto, Alessio, et al.
Publicado: (2024)
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
por: Pourreza, Mohammadreza, et al.
Publicado: (2025)
por: Pourreza, Mohammadreza, et al.
Publicado: (2025)
An LLM-Tool Compiler for Fused Parallel Function Calling
por: Singh, Simranjit, et al.
Publicado: (2024)
por: Singh, Simranjit, et al.
Publicado: (2024)
Neural Task Synthesis for Visual Programming
por: Pădurean, Victor-Alexandru, et al.
Publicado: (2023)
por: Pădurean, Victor-Alexandru, et al.
Publicado: (2023)
Low-Rank Compression of Language Models via Differentiable Rank Selection
por: Sundrani, Sidhant, et al.
Publicado: (2025)
por: Sundrani, Sidhant, et al.
Publicado: (2025)
Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization
por: Chan, Willy, et al.
Publicado: (2025)
por: Chan, Willy, et al.
Publicado: (2025)
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
por: Tsoukalas, George, et al.
Publicado: (2024)
por: Tsoukalas, George, et al.
Publicado: (2024)
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
por: Solano, Jesus, et al.
Publicado: (2023)
por: Solano, Jesus, et al.
Publicado: (2023)
FairBelief -- Assessing Harmful Beliefs in Language Models
por: Setzu, Mattia, et al.
Publicado: (2024)
por: Setzu, Mattia, et al.
Publicado: (2024)
Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context Learning
por: Yu, Simon, et al.
Publicado: (2024)
por: Yu, Simon, et al.
Publicado: (2024)
Code Simulation Challenges for Large Language Models
por: La Malfa, Emanuele, et al.
Publicado: (2024)
por: La Malfa, Emanuele, et al.
Publicado: (2024)
Probabilistic Programming with Programmable Variational Inference
por: Becker, McCoy R., et al.
Publicado: (2024)
por: Becker, McCoy R., et al.
Publicado: (2024)
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
por: Wei, Anjiang, et al.
Publicado: (2025)
por: Wei, Anjiang, et al.
Publicado: (2025)
PosterSum: A Multimodal Benchmark for Scientific Poster Summarization
por: Saxena, Rohit, et al.
Publicado: (2025)
por: Saxena, Rohit, et al.
Publicado: (2025)
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
por: Lai, Ruihang, et al.
Publicado: (2023)
por: Lai, Ruihang, et al.
Publicado: (2023)
ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations
por: Gu, Alex, et al.
Publicado: (2025)
por: Gu, Alex, et al.
Publicado: (2025)
REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving
por: Tang, Annabelle Sujun, et al.
Publicado: (2025)
por: Tang, Annabelle Sujun, et al.
Publicado: (2025)
ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning
por: Yang, Chengcao
Publicado: (2026)
por: Yang, Chengcao
Publicado: (2026)
The Elements of Differentiable Programming
por: Blondel, Mathieu, et al.
Publicado: (2024)
por: Blondel, Mathieu, et al.
Publicado: (2024)
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
por: Li, Zhening, et al.
Publicado: (2025)
por: Li, Zhening, et al.
Publicado: (2025)
AutoPDL: Automatic Prompt Optimization for LLM Agents
por: Spiess, Claudio, et al.
Publicado: (2025)
por: Spiess, Claudio, et al.
Publicado: (2025)
DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation
por: Fang, Jingzhi, et al.
Publicado: (2026)
por: Fang, Jingzhi, et al.
Publicado: (2026)
PassNet: Scaling Large Language Models for Graph Compiler Pass Generation
por: Liu, Yiqun, et al.
Publicado: (2026)
por: Liu, Yiqun, et al.
Publicado: (2026)
Hexcute: A Compiler Framework for Automating Layout Synthesis in GPU Programs
por: Zhang, Xiao, et al.
Publicado: (2025)
por: Zhang, Xiao, et al.
Publicado: (2025)
From Reasoning to Code: GRPO Optimization for Underrepresented Languages
por: Pennino, Federico, et al.
Publicado: (2025)
por: Pennino, Federico, et al.
Publicado: (2025)
Curriculum Learning for Small Code Language Models
por: Naïr, Marwa, et al.
Publicado: (2024)
por: Naïr, Marwa, et al.
Publicado: (2024)
Ejemplares similares
-
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly
por: Armengol-Estapé, Jordi, et al.
Publicado: (2023) -
What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces
por: Armengol-Estapé, Jordi, et al.
Publicado: (2025) -
LLMs versus the Halting Problem: Characterizing Program Termination Reasoning
por: Sultan, Oren, et al.
Publicado: (2026) -
Probing the Emergence of Cross-lingual Alignment during LLM Training
por: Wang, Hetong, et al.
Publicado: (2024) -
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
por: Ghazaryan, Gayane, et al.
Publicado: (2024)