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...
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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
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papermultiturninterleavedinstruction