Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning Paper • 2410.03103 • Published Oct 4, 2024 • 7
Agentless: Demystifying LLM-based Software Engineering Agents Paper • 2407.01489 • Published Jul 1, 2024 • 59
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts Paper • 2404.15247 • Published Apr 23, 2024 • 3
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Paper • 2403.15447 • Published Mar 18, 2024 • 16
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data Paper • 2401.17600 • Published Jan 31, 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Paper • 2312.03724 • Published Nov 27, 2023 • 1
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion Paper • 2401.12947 • Published Jan 23, 2024 • 2
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair Paper • 2309.00608 • Published Sep 1, 2023 • 2
NeuRI: Diversifying DNN Generation via Inductive Rule Inference Paper • 2302.02261 • Published Feb 4, 2023 • 3
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Paper • 2306.11698 • Published Jun 20, 2023 • 12
Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts Paper • 2304.10505 • Published Mar 24, 2023 • 1