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https://huggingface.co/papers/2310.08992	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Test-Case-Driven Programming Understanding in Large Language Models for Better Code Generation](https://huggingface.co/papers/2309.16120) (2023) * [Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation](https://huggingface.co/papers/2310.10698) (2023) * [The Program Testing Ability of Large Language Models for Code](https://huggingface.co/papers/2310.05727) (2023) * [Ada-Instruct: Adapting Instruction Generators for Complex Reasoning](https://huggingface.co/papers/2310.04484) (2023) * [ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification](https://huggingface.co/papers/2310.10996) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.09263	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks](https://huggingface.co/papers/2310.00789) (2023) * [LLM-augmented Preference Learning from Natural Language](https://huggingface.co/papers/2310.08523) (2023) * [Efficient Finetuning Large Language Models For Vietnamese Chatbot](https://huggingface.co/papers/2309.04646) (2023) * [A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks](https://huggingface.co/papers/2310.09430) (2023) * [Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model](https://huggingface.co/papers/2310.08072) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.09199	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://huggingface.co/papers/2308.12966) (2023) * [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023) * [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023) * [UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model](https://huggingface.co/papers/2310.05126) (2023) * [Improved Baselines with Visual Instruction Tuning](https://huggingface.co/papers/2310.03744) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.08659	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models](https://huggingface.co/papers/2309.14717) (2023) * [NOLA: Networks as Linear Combination of Low Rank Random Basis](https://huggingface.co/papers/2310.02556) (2023) * [Norm Tweaking: High-performance Low-bit Quantization of Large Language Models](https://huggingface.co/papers/2309.02784) (2023) * [LoRA ensembles for large language model fine-tuning](https://huggingface.co/papers/2310.00035) (2023) * [ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers](https://huggingface.co/papers/2309.16119) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.09139	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Contrastive Decoding Improves Reasoning in Large Language Models](https://huggingface.co/papers/2309.09117) (2023) * [Critique Ability of Large Language Models](https://huggingface.co/papers/2310.04815) (2023) * [Making Retrieval-Augmented Language Models Robust to Irrelevant Context](https://huggingface.co/papers/2310.01558) (2023) * [Diversity of Thought Improves Reasoning Abilities of Large Language Models](https://huggingface.co/papers/2310.07088) (2023) * [Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model](https://huggingface.co/papers/2310.09520) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.08740	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [LASER: LLM Agent with State-Space Exploration for Web Navigation](https://huggingface.co/papers/2309.08172) (2023) * [HeaP: Hierarchical Policies for Web Actions using LLMs](https://huggingface.co/papers/2310.03720) (2023) * [Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models](https://huggingface.co/papers/2310.04406) (2023) * [CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization](https://huggingface.co/papers/2310.10134) (2023) * [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.08715	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Few-Shot Spoken Language Understanding via Joint Speech-Text Models](https://huggingface.co/papers/2310.05919) (2023) * [Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks](https://huggingface.co/papers/2309.07937) (2023) * [LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT](https://huggingface.co/papers/2310.04673) (2023) * [Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis](https://huggingface.co/papers/2310.05374) (2023) * [Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing](https://huggingface.co/papers/2309.15826) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13548	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023) * [SALMON: Self-Alignment with Principle-Following Reward Models](https://huggingface.co/papers/2310.05910) (2023) * [UltraFeedback: Boosting Language Models with High-quality Feedback](https://huggingface.co/papers/2310.01377) (2023) * [Verbosity Bias in Preference Labeling by Large Language Models](https://huggingface.co/papers/2310.10076) (2023) * [Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models](https://huggingface.co/papers/2308.15812) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13355	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction](https://huggingface.co/papers/2310.01403) (2023) * [Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection](https://huggingface.co/papers/2310.00161) (2023) * [Contrastive Feature Masking Open-Vocabulary Vision Transformer](https://huggingface.co/papers/2309.00775) (2023) * [EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment](https://huggingface.co/papers/2309.01151) (2023) * [Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks](https://huggingface.co/papers/2310.08255) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13522	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Enable Language Models to Implicitly Learn Self-Improvement From Data](https://huggingface.co/papers/2310.00898) (2023) * [Diversity of Thought Improves Reasoning Abilities of Large Language Models](https://huggingface.co/papers/2310.07088) (2023) * [MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models](https://huggingface.co/papers/2310.12426) (2023) * [Chain-of-Thought Reasoning is a Policy Improvement Operator](https://huggingface.co/papers/2309.08589) (2023) * [Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection](https://huggingface.co/papers/2310.05035) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13012	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models](https://huggingface.co/papers/2310.10049) (2023) * [Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models](https://huggingface.co/papers/2308.14149) (2023) * [SoTaNa: The Open-Source Software Development Assistant](https://huggingface.co/papers/2308.13416) (2023) * [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023) * [Privacy in Large Language Models: Attacks, Defenses and Future Directions](https://huggingface.co/papers/2310.10383) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13332	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering](https://huggingface.co/papers/2308.13259) (2023) * [Effective Distillation of Table-based Reasoning Ability from LLMs](https://huggingface.co/papers/2309.13182) (2023) * [DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models](https://huggingface.co/papers/2310.05074) (2023) * [Large Language Models Are Also Good Prototypical Commonsense Reasoners](https://huggingface.co/papers/2309.13165) (2023) * [KwaiYiiMath: Technical Report](https://huggingface.co/papers/2310.07488) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13065	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023) * [Human-Assisted Continual Robot Learning with Foundation Models](https://huggingface.co/papers/2309.14321) (2023) * [CoPAL: Corrective Planning of Robot Actions with Large Language Models](https://huggingface.co/papers/2310.07263) (2023) * [WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model](https://huggingface.co/papers/2308.15962) (2023) * [ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning](https://huggingface.co/papers/2308.13724) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13545	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [FreeU: Free Lunch in Diffusion U-Net](https://huggingface.co/papers/2309.11497) (2023) * [Denoising Task Routing for Diffusion Models](https://huggingface.co/papers/2310.07138) (2023) * [Debias the Training of Diffusion Models](https://huggingface.co/papers/2310.08442) (2023) * [Residual Denoising Diffusion Models](https://huggingface.co/papers/2308.13712) (2023) * [LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation](https://huggingface.co/papers/2309.15363) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13639	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Learning Optimal Advantage from Preferences and Mistaking it for Reward](https://huggingface.co/papers/2310.02456) (2023) * [Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment](https://huggingface.co/papers/2310.00212) (2023) * [A General Theoretical Paradigm to Understand Learning from Human Preferences](https://huggingface.co/papers/2310.12036) (2023) * [Deep Reinforcement Learning from Hierarchical Weak Preference Feedback](https://huggingface.co/papers/2309.02632) (2023) * [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13127	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Evaluating the Robustness to Instructions of Large Language Models](https://huggingface.co/papers/2308.14306) (2023) * [TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design](https://huggingface.co/papers/2309.05447) (2023) * [Ada-Instruct: Adapting Instruction Generators for Complex Reasoning](https://huggingface.co/papers/2310.04484) (2023) * [Diversity of Thought Improves Reasoning Abilities of Large Language Models](https://huggingface.co/papers/2310.07088) (2023) * [Toward Unified Controllable Text Generation via Regular Expression Instruction](https://huggingface.co/papers/2309.10447) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13289	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models](https://huggingface.co/papers/2310.05863) (2023) * [SLM: Bridge the thin gap between speech and text foundation models](https://huggingface.co/papers/2310.00230) (2023) * [LLaSM: Large Language and Speech Model](https://huggingface.co/papers/2308.15930) (2023) * [LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT](https://huggingface.co/papers/2310.04673) (2023) * [BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing](https://huggingface.co/papers/2309.00916) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13227	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models](https://huggingface.co/papers/2310.04406) (2023) * [Autonomous Tree-search Ability of Large Language Models](https://huggingface.co/papers/2310.10686) (2023) * [Tree-Planner: Efficient Close-loop Task Planning with Large Language Models](https://huggingface.co/papers/2310.08582) (2023) * [Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning](https://huggingface.co/papers/2310.04474) (2023) * [LASER: LLM Agent with State-Space Exploration for Web Navigation](https://huggingface.co/papers/2309.08172) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
https://huggingface.co/papers/2310.13671	This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs](https://huggingface.co/papers/2309.09582) (2023) * [Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://huggingface.co/papers/2310.01119) (2023) * [Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model](https://huggingface.co/papers/2310.08072) (2023) * [Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations](https://huggingface.co/papers/2310.07849) (2023) * [Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering](https://huggingface.co/papers/2309.06358) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
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