Robuta

https://openreview.net/forum?id=0bZaUfELuW Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control |... We train language-conditioned policies in a semi-supervised manner by aligning representations between goal-conditioned and language-conditioned tasks with a... instruction following https://openreview.net/forum?id=75PHxOCeEq Situated Instruction Following Under Ambiguous Human Intent | OpenReview Language is never spoken in a vacuum. It is expressed and comprehended within the holistic backdrop of the speaker's history, actions, and environment. Since... instruction followingsituatedambiguoushumanintent https://openreview.net/forum?id=tFDTHA3odg ThinkBot: Embodied Instruction Following with Thought Chain Reasoning | OpenReview Embodied Instruction Following (EIF) requires agents to complete human instruction by interacting objects in complicated surrounding environments. Conventional... instruction followingthought chainembodiedreasoningopenreview https://openreview.net/forum?id=QeP2TmCXKn ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion |... We study how robots navigate dynamic environments while following instructions. Unlike prior work where the instructions only specify the navigation goals in... instruction followingdynamic environmentsnavigationviacomposable https://aclanthology.org/2024.tacl-1.38/ Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering -... Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, Nicholas Meade, Siva Reddy. Transactions of the Association for Computational Linguistics, Volume 12. 2024. instruction followingevaluatingcorrectnessfaithfulness https://arxiv.org/abs/2604.16322 [2604.16322] Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema... Abstract page for arXiv paper 2604.16322: Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution instruction following https://openreview.net/forum?id=ez6Cb0ZGzG&ref=ruder.io Continual Learning for Instruction Following from Realtime Feedback | OpenReview We propose and deploy an approach to continually train an instruction-following agent from feedback provided by users during collaborative interactions. During... continual learninginstruction followingrealtimefeedbackopenreview https://www.amazon.science/code-and-datasets/multimodal-neural-slam-for-interactive-instruction-following Multimodal neural SLAM for interactive instruction following - Amazon Science Recent years have witnessed an emerging paradigm shift toward embodied artificial intelligence, in which an agent must learn to solve challenging tasks by... instruction followingmultimodalneuralslaminteractive https://arxiv.org/html/2509.17941v1 ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion instruction followingdynamic environmentsnavigationviacomposable https://aclanthology.org/2024.findings-emnlp.92/ The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language... Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke. Findings of the Association for Computational... instruction followingsifobenchmarkinvestigatingsequential https://openreview.net/forum?id=tC2lDRhHNT Evaluating Large Language Models at Evaluating Instruction Following | OpenReview As research in large language models (LLMs) continues to accelerate, LLM-based evaluation has emerged as a scalable and cost-effective alternative to human... large language modelsat instructionevaluatingfollowingopenreview https://huggingface.co/papers/2502.19166 Paper page - CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models... Join the discussion on this paper page instruction following https://www.amazon.science/alexa-prize/proceedings/seagull-an-embodied-agent-for-instruction-following-through-situated-dialog SEAGULL: An embodied agent for instruction following through situated dialog - Amazon Science The growing demand for advanced AI necessitates the development of an intelligent agent capable of perceiving, reasoning, acting, and communicating within an... embodied agentinstruction following https://github.com/FireBenchIF/FireBench GitHub - FireBenchIF/FireBench: FireBench: Evaluating Instruction Following in Enterprise and... FireBench: Evaluating Instruction Following in Enterprise and API-Driven LLM Applications - FireBenchIF/FireBench instruction followinggithubevaluatingenterprise https://openreview.net/forum?id=xDyJVMnab8 Instruction Following by Boosting Attention of Large Language Models | OpenReview Controlling the generation of large language models (LLMs) remains a central challenge to ensure they are both reliable and adaptable. Two common... large language modelsinstruction followingboostingattentionopenreview https://openreview.net/forum?id=JyubkFMBiq&referrer=%5Bthe%20profile%20of%20Alison%20Callahan%5D(%2Fprofile%3Fid%3D~Alison_Callahan1) MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records |... The ability of large language models (LLMs) to follow natural language instructions with human-level fluency suggests many opportunities in healthcare to... https://www.amazon.science/publications/iheval-evaluating-language-models-on-following-the-instruction-hierarchy IHEval: Evaluating language models on following the instruction hierarchy - Amazon Science The instruction hierarchy, which establishes a priority order from system messages to user messages, conversation history, and tool outputs, is essential for... language modelsinstruction hierarchyevaluating https://openreview.net/forum?id=cRR0oDFEBC&referrer=%5Bthe%20profile%20of%20Keming%20Lu%5D(%2Fprofile%3Fid%3D~Keming_Lu1) Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language... One core capability of large language models~(LLMs) is to follow natural language instructions. However, the issue of automatically constructing high-quality... self play https://arxiv.org/abs/2305.03025 [2305.03025] Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following... Abstract page for arXiv paper 2305.03025: Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models https://openreview.net/forum?id=cRR0oDFEBC Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language... One core capability of large language models~(LLMs) is to follow natural language instructions. However, the issue of automatically constructing high-quality... self play https://huggingface.co/papers/2309.08637 Paper page - TextBind: Multi-turn Interleaved Multimodal Instruction-following Join the discussion on this paper page papermultiturninterleavedinstruction