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Found 6 papers, 3 papers with code
AlignXIE: Improving Multilingual Information Extraction by Cross-Lingual Alignment
Empirical evidence suggests that LLMs exhibit spontaneous cross-lingual alignment.
Building A Coding Assistant via the Retrieval-Augmented Language Model
Specifically, it consists of a code structure aware retriever (CONAN-R) and a dual-view code representation-based retrieval-augmented generation model (CONAN-G).
Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement
Additionally, to enhance the code debugging ability of LLMs, this paper proposes a CoMmunicative Agent BaSed DaTa REfinement FRamework (MASTER), which generates the refined code debugging data for supervised finetuning.
Advancing LLM Reasoning Generalists with Preference Trees
We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning.
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
INTERVENOR prompts Large Language Models (LLMs) to play distinct roles during the code repair process, functioning as both a Code Learner and a Code Teacher.
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GameGPT: Multi-agent Collaborative Framework for Game Development
The large language model (LLM) based agents have demonstrated their capacity to automate and expedite software development processes.
