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title string | abstract string | field_of_study sequence | publication_date string | license string | reference_paperhash sequence | paperhash string | full_text string | figures images list | figures_metadata list | decision bool | detailed_decision int64 | reviews list | comments list | score sequence | confidence sequence | correctness sequence | clarity sequence | impact sequence | ethics sequence |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Customized Procedure Planning in Instructional Videos | Generating customized procedures for task planning in instructional videos poses a unique challenge for vision-language models. In this paper, we introduce Customized Procedure Planning in Instructional Videos, a novel task that focuses on generating a sequence of detailed action steps for task completion based on user... | [
"Customized Procedure Planning",
"multi-modal models",
"vision-language models",
"applications to robotics, autonomy, planning"
] | 2024-10-04 | CC BY 4.0 | [
"|pour_in_milk",
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"|glaze_the_top_with_cream_cheese._task:_make_french_toast_task:_make_bread_and_butter_pickles_... | zare|customized_procedure_planning_in_instructional_videos|ICLR_cc_2025_Conference | introduction
Procedure planning in instructional videos (PPIV) involves generating a sequence of action steps, to transform an initial visual observation of a task into its completion (Chang et al., 2020; Bi et al., 2021a; Sun et al., 2022; Zhao et al., 2022; Wang et al., 2023a; b; Li et al., 2023; Niu et al., 2024; Za... | [
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"caption": "Figure 3: Expansion of vocabulary in action plans as the result of customization pipeline. The word clouds compare generic plans (top) with the added vocabulary (bottom) for four sample tasks, showcasing the open-vocabulary setting and customization on the CrossTask dataset. Stop-words are exclude... | false | null | [
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"paper_summary": "paper_summary: The paper addresses the issue of generating customized procedures for task planning in instructional videos. Existing methods face challenges like overlooking customization and lacking proper datasets. The contributions are sig... | [
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"comment": "Thanks for your response. My concerns are partially addressed. I decide to keep my score, as the paper still some distance from the acceptance threshold and needs further refinement.",
"title": "Response to the authors"
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A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety | "Black swan events are statistically rare occurrences that carry extremely high risks. A typical vie(...TRUNCATED) | ["AI Safety","Risk","Reinforcement Learning","alignment, fairness, safety, privacy, and societal con(...TRUNCATED) | 2024-10-04 | CC BY 4.0 | ["agarwal|model-based_reinforcement_learning_with_a_generative_model_is_minimax_optimal","agrawal|re(...TRUNCATED) | lee|a_black_swan_hypothesis_the_role_of_human_irrationality_in_ai_safety|ICLR_cc_2025_Conference | "introduction\nTo successfully deploy machine learning (ML) systems in open-ended environments, thes(...TRUNCATED) | [{"src":"https://datasets-server.huggingface.co/assets/nhop/ReviewBench/--/{dataset_git_revision}/--(...TRUNCATED) | [{"caption":"Figure 1: Value distortion function u and probability distortion function w. The gray l(...TRUNCATED) | true | null | [{"limitations":null,"main_review":null,"paper_summary":"paper_summary: This paper challenges the co(...TRUNCATED) | [{"comment":"Dear Reviewer WW6X, \n\nThank you for your thoughtful feedback, especially on how the r(...TRUNCATED) | [
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Network-based Active Inference and its Application in Robotics | "This paper introduces Network-based Active Inference (NetAIF), a novel robotic framework that enabl(...TRUNCATED) | ["Active Inference (AIF)","Free Energy Principle (FEP)","Robotics","Trajectory generation","Random d(...TRUNCATED) | 2024-10-04 | CC BY 4.0 | ["anonymous|network-based_active_inference_for_adaptive_and_cost-efficient_real-world_applications:_(...TRUNCATED) | yoon|networkbased_active_inference_and_its_application_in_robotics|ICLR_cc_2025_Conference | "introduction 1.overcoming automation challenges with advanced learning methods\nThe World Energy Em(...TRUNCATED) | [{"src":"https://datasets-server.huggingface.co/assets/nhop/ReviewBench/--/{dataset_git_revision}/--(...TRUNCATED) | [
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VR-Sampling: Accelerating Flow Generative Model Training with Variance Reduction Sampling | "Recent advancements in text-to-image and text-to-video models, such as Stable Diffusion 3 (SD3), Fl(...TRUNCATED) | [
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What Matters in Hierarchical Search for Combinatorial Reasoning Problems? | "Combinatorial reasoning problems, particularly the notorious NP-hard tasks, remain a significant ch(...TRUNCATED) | ["deep learning","search","subgoals","hierarchical reinforcement learning","imitation learning","rei(...TRUNCATED) | 2024-10-04 | CC BY 4.0 | ["achiam|constrained_policy_optimization","andrychowicz|what_matters_in_on-policy_reinforcement_lear(...TRUNCATED) | "zawalski|what_matters_in_hierarchical_search_for_combinatorial_reasoning_problems|ICLR_cc_2025_Conf(...TRUNCATED) | "introduction\nFigure 1 : Performance comparison of hierarchical methods (AdaSubS, kSubS) and low-le(...TRUNCATED) | [{"src":"https://datasets-server.huggingface.co/assets/nhop/ReviewBench/--/{dataset_git_revision}/--(...TRUNCATED) | [{"caption":"Figure 1: Performance comparison of hierarchical methods (AdaSubS, kSubS) and low-level(...TRUNCATED) | false | null | [{"limitations":null,"main_review":null,"paper_summary":"paper_summary: This paper reports on an emp(...TRUNCATED) | [{"comment":"Thank you for your constructive feedback that helped us strengthen our work. Let us sum(...TRUNCATED) | [
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Self-Play Preference Optimization for Language Model Alignment | "Standard reinforcement learning from human feedback (RLHF) approaches relying on parametric models (...TRUNCATED) | ["self play","preference optimization","large language model","RLHF","alignment, fairness, safety, p(...TRUNCATED) | 2024-10-04 | CC BY 4.0 | ["ahmadian|back_to_basics:_revisiting_reinforce-style_optimization_for_learning_from_human_feedback_(...TRUNCATED) | wu|selfplay_preference_optimization_for_language_model_alignment|ICLR_cc_2025_Conference | "introduction\nLarge Language Models (LLMs) (e.g., Ouyang et al., 2022; OpenAI et al., 2023) , have (...TRUNCATED) | [{"src":"https://datasets-server.huggingface.co/assets/nhop/ReviewBench/--/{dataset_git_revision}/--(...TRUNCATED) | [{"caption":"Table 6: Another generation example of our fine-tuned model by SPPO at different iterat(...TRUNCATED) | true | null | [{"limitations":null,"main_review":null,"paper_summary":"paper_summary: The paper proposes a novel s(...TRUNCATED) | [{"comment":"Thanks for providing the detailed explanation. I increase my contribution score to 3. T(...TRUNCATED) | [
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ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy | "Large-scale cell microscopy screens are used in drug discovery and molecular biology research to st(...TRUNCATED) | ["MAE","microscopy","transformers","SSL","linear probing","biology","high-content screening","founda(...TRUNCATED) | 2024-10-04 | CC BY 4.0 | ["spearman|rxrx3),_b_*_=_12_mae-l/8_(rpi-93m),_b_=_24_mae-l/8_(rpi-93m),_b_*_=_15_mae-l/8_(pp-16m),_(...TRUNCATED) | "kenyondean|vitally_consistent_scaling_biological_representation_learning_for_cell_microscopy|ICLR_c(...TRUNCATED) | "introduction\nLarge-scale cell microscopy assays are used to discover previously unknown biological(...TRUNCATED) | [{"src":"https://datasets-server.huggingface.co/assets/nhop/ReviewBench/--/{dataset_git_revision}/--(...TRUNCATED) | [{"caption":"Table 4: Overview of vision transformer (ViT) encoders used and evaluated in this work.(...TRUNCATED) | false | null | [{"limitations":null,"main_review":null,"paper_summary":"paper_summary: The authors presented a new (...TRUNCATED) | [{"comment":"I've changed my score to 5, however, I still think that the current version is not yet (...TRUNCATED) | [
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Synthetic continued pretraining | "Pretraining on large-scale, unstructured internet text enables language models to acquire a signifi(...TRUNCATED) | ["large language model","synthetic data","continued pretraining","foundation or frontier models, inc(...TRUNCATED) | 2024-10-04 | CC BY 4.0 | ["abdin|phi-2:_the_surprising_power_of_small_language_models","akyürek|deductive_closure_training_o(...TRUNCATED) | yang|synthetic_continued_pretraining|ICLR_cc_2025_Conference | "introduction\nLanguage models (LMs) have demonstrated a remarkable ability to acquire knowledge fro(...TRUNCATED) | [{"src":"https://datasets-server.huggingface.co/assets/nhop/ReviewBench/--/{dataset_git_revision}/--(...TRUNCATED) | [{"caption":"Figure 2: Accuracy on the QuALITY question set Qtest (y-axis) as a function of the synt(...TRUNCATED) | true | null | [{"limitations":null,"main_review":null,"paper_summary":"paper_summary: This paper addresses the pro(...TRUNCATED) | [{"comment":"Thanks! Will keep my positive score.","title":null},{"comment":"Thank you for your clar(...TRUNCATED) | [
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On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models | "Training Large Language Models (LLMs) poses significant memory challenges, making low-rank adaptati(...TRUNCATED) | [
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OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning | "Large language models (LLMs) and large multimodal models (LMMs) have shown great potential in autom(...TRUNCATED) | ["Large Language Model","Autonomous Agent","Graphical User Interface","applications to robotics, aut(...TRUNCATED) | 2024-10-04 | CC BY 4.0 | ["achiam|shyamal_anadkat,_et_al._gpt-4_technical_report","chen|a_dataset_for_gui-oriented_multimodal(...TRUNCATED) | "wang|oscar_operating_system_control_via_stateaware_reasoning_and_replanning|ICLR_cc_2025_Conference(...TRUNCATED) | "introduction\nLarge Language Models (LLMs) (Ouyang et al., 2022; Achiam et al., 2023; Dubey et al.,(...TRUNCATED) | [{"src":"https://datasets-server.huggingface.co/assets/nhop/ReviewBench/--/{dataset_git_revision}/--(...TRUNCATED) | [{"caption":"Figure 4: Illustration of task-driven re-planning and code-centric control in OSCAR. Ba(...TRUNCATED) | true | null | [{"limitations":null,"main_review":null,"paper_summary":"paper_summary: - This work presents an LLM+(...TRUNCATED) | [{"comment":"Thanks for addressing my concerns. I've updated my rating.","title":null},{"comment":"T(...TRUNCATED) | [
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