paper_id stringlengths 10 10 | items listlengths 4 82 | gt float64 1 9.5 |
|---|---|---|
I5webNFDgQ | [
"strength: this work presents a novel diffusion-based approach for remote sensing data. It is great to see people extending diffusion to remote sensing data as it is of complex nature given its multi-spectral composition.",
"strength: this work outlines multiple generative downstream tasks for remote sensing whic... | 6.25 |
XXzOzJRyOZ | [
"strength: The paper leverages semantic point matching as a prior to enhance garment shape and texture preservation.",
"strength: Extensive testing on the VITON-HD and DressCode datasets demonstrates the model's robustness and superior performance.",
"strength: The authors have provided the code to ensure repro... | 6.666667 |
9XabBgqFgy | [
"strength: The motivation of the paper is clear, it's important to understand the relationship between vision backbones and optimizers.",
"strength: The authors have conducted extensive experiments across a large range of optimizers and vision backbones.",
"strength: The experiments reveal many interesting obse... | 5.333333 |
dRXxFEY8ZE | [
"strength: Careful curation of the dataset - types of collections, varying types of birdcalls from same species; includes both soundscapes, and individual recordings; comparisons with other datasets.",
"strength: Inclusion of benchmark code for future researchers to use as a baseline.",
"strength: Permissive li... | 7.5 |
h6k4809xVV | [
"strength: The motivation is clear; the problem statement, issues with existing works, and connections to the provided solution are clean and easy to follow. I also appreciate the label brackets underneath parts of the equations.",
"strength: The contribution addresses the issue both distributional shifts in data... | 6 |
3f8556SIEn | [
"strength: Good zero-shot editing performance compared to previous STOA. The demo page shows the effective controllability of some music concepts that previous models failed to control.",
"strength: The benchmark is very useful for future researchers on music editing.",
"strength: The methodology of Harmonized ... | 4 |
hBVywPrw6d | [
"strength: Innovative Hybrid Pre-training Strategy: The proposed MAP approach effectively combines MAE and autoregressive pre-training, which promisingly addresses the limitations of existing pre-training methods for Mamba-based backbones.",
"strength: Comprehensive Experimental Validation: The authors validate t... | 5 |
qtqvuBmhxU | [
"strength: A good overview of the datasets curated for this work",
"strength: important contribution of decoupling the codebase",
"strength: A good overview of the method approaches",
"strength: practically useful to AI researchers in medical imaging",
"strength: The paper attempts to provide a comprehensiv... | 5.75 |
nTAC2NCQUO | [
"strength: The innovative idea of using multiple LoRA experts.",
"strength: Leveraging CoT and introducing AlignCoT.",
"strength: The paper provides detailed ablation studies, clearly analyzing the contributions of each component, including AlignCoT and MoTE, to the overall performance.",
"strength: The paper... | 4.75 |
6Hz1Ko087B | [
"strength: The paper is well-written with good clarity and coherence making the paper easy to read and comprehend.",
"strength: Most work on ECG either focus on beats or on rhythms making it challenging to learn both intra-beat and inter-beat features together which is where this contribution shines.",
"strengt... | 7 |
SEvJfuCtPY | [
"strength: The paper has explained in depth the mathematical background of the method.",
"strength: It showed an interesting idea.",
"strength: This paper provides explicit formulas for identifying the phase transition between the two phases described by the authors in a diffusion process. These formulas, altho... | 3 |
Y6aHdDNQYD | [
"strength: The paper introduces a novel weighted ensemble of historical checkpoints approach, that helps mitigate catastrophic forgetting while adapting models to unseen domain shifts. This method achieves SOTA performance across multiple datasets and scenarios.",
"strength: The proposed method also effectively r... | 8 |
or8mMhmyRV | [
"strength: Overall, I believe MaestroMotif presents an effective approach to incorporating human prior knowledge to solve specific tasks. Given that NetHack tasks involve a variety of challenges, including understanding natural language descriptions, planning over high-level abstractions, and exploration, it is not... | 7.75 |
DqziS8DG4M | [
"strength: The paper is well written. It is well motivated and it is clear how the method works and how the experiments are set up.",
"strength: The results show clear improvements over the compared approaches.",
"strength: The experiments are comprehensive enough to demonstrate the benefits of Point2SSM.",
"... | 7.25 |
bSSFERgkFn | [
"strength: The paper has an interesting setting;",
"strength: the application targeted in this paper (e-commerce) is novel.",
"strength: A strength of the paper is its use of BERT embeddings to capture the semantic meaning of customer features, allowing for more nuanced and contextually accurate counterfactuals... | 3.75 |
GGlpykXDCa | [
"strength: Very complete benchmark for evaluating table reasoning in LLMs.",
"strength: The benchmark includes different subsets for different difficulty levels, it also includes multiple subtasks, which can be useful to evaluate intermediate steps needed to solve multi-table QA.",
"strength: Analysis of multip... | 8 |
cxB0fPNZkx | [
"strength: The authors introduce a new type of explanation called a \"support spectrum,\" which provides a transition from global to local importance for individual test points. The support spectrum includes training points that \"lie in between\" the test point and the points in other classes, offering tailored ex... | 3 |
xsx3Fpo3UD | [
"strength: The two methods proposed in the paper combine RLHF with distillation, providing insights into the preference alignment of small language models and solving problems that previous methods had not addressed.",
"strength: The experimental section is well-designed, with numerous comparative and ablation ex... | 7.5 |
OZVTqoli2N | [
"strength: The paper proposes a novel theoretical analysis of the multitask loss through a second-order Taylor expansion, leading to interesting insights (namely equation 5 & 14)",
"strength: The authors leverage this insight to propose new methods for incremental learning with weight-space merging, showing favor... | 7.5 |
x7d1qXEn1e | [
"strength: Originality: The main contribution of the work is extending the formulation of plug and play reconstruction methods to utilize implicit priors other than only denoisers.",
"strength: Clarity: The theoretical analysis of their proposed idea is clearly presented.",
"strength: Significance: While the pe... | 6.25 |
bdFzyzf4Qx | [
"strength: The authors obtain novel insights over prior theoretical work using the Poisson-Nash assumption by Östling et al. by applying Q-learning to real world data.",
"strength: The idea of using a Q-learning-based approach for the classical LUPI game is novel in the literature.",
"strength: The experim... | 3 |
cnKhHxN3xj | [
"strength: Understanding the relationship between sparsity and entanglement is an important research area.",
"strength: The paper conducts extensive experiments to explore the connection between Wasserstein distance, entanglement, and their impact on sparsification.",
"strength: I am not fully familiar with the... | 7.5 |
c9z65sDx6M | [
"strength: The submission is clear in its objectives and introduces novel elements like the Physically-Informed Parameter Encoder (PIPE) and Rectified Flow Acceleration (RFA) Technique, which together can generate high-fidelity data by applying a diffusion model.",
"strength: The experimental setup is robust, pro... | 6.6 |
3Oli4u6q3p | [
"strength: Pseudocode in A.1 clarifies all misunderstandings from the text descriptions. I can not stress enough how much I like this way of communicating the pipeline.",
"strength: The approach uses a diffusion process instead of a multi-view optimization, which is exceptionally fast in direct comparison.",
"s... | 7.333333 |
meRCKuUpmc | [
"strength: Thorough ablation studies and experiments that demonstrate the effectiveness of jointly predicting forward and inverse dynamics as a pre-training task for robot learning",
"strength: Evaluation in both simulation and in real on the effectiveness of the method",
"strength: Shows scalability of the pro... | 7.5 |
VtP7CamOR5 | [
"strength: The topic explored in this paper is interesting and engaging.",
"strength: The paper offers some theoretical insights that enhance our understanding of operator learning.",
"strength: The experiments conducted are thorough.",
"strength: Theoretical Connection between Mamba and Neural Operator.",
... | 3 |
tfyHbvFZ0K | [
"strength: The paper critically examines the KL assumption by employing both statistical and modification-based evidence, providing a thorough analysis of why the assumption does not hold in certain contexts.",
"strength: Building on this analysis, the authors propose a novel assumption and develop a modification... | 7.5 |
BefqqrgdZ1 | [
"strength: The paper is well-written and easy to follow.",
"strength: The experimental results are through, with diverse datasets and settings.",
"strength: In-depth ablation study and parameters consideration are presented.",
"strength: The proposed network has a low number of parameters and low computationa... | 3.25 |
a0ftEY6puc | [
"strength: This paper tackles essential issues related to the model pruning in multilingual settings.",
"strength: The motivation of this paper is clearly described.",
"strength: This paper revealed several significant findings, such as calibrating in the target language can efficiently retain the language mode... | 6 |
UXCfRU2Qs4 | [
"strength: I think that it's timely project to examine the correlations between human and LLM behavior, and the idea to correlate that carefully against existing data is interesting.",
"strength: The authors performed thorough design and analysis on the performance of the framework with different open models",
... | 4.25 |
igGeaxOiFM | [
"strength: The proposed HoLoRA enforces strict orthogonality in the down-projection matrix through efficient Householder transformations, minimizing feature loss without adding significant computational cost.",
"strength: The proposed HoLoRA outperforms standard LoRA in low-rank scenarios, showing stronger featur... | 3 |
TCFtGBTxkq | [
"strength: The presentation is quite clear, and the design of TAMU is simple and easy to understand.",
"strength: While there are few works focused on efficient unimodal deployment, this appears to be the first adaptation in audio-visual speech tasks. The motivation is therefore innovative.",
"strength: The exp... | 4 |
0vtftmYQGV | [
"strength: This paper addresses the challenge of achieving high adaptation accuracy while maintaining computational efficiency in Sparse Test-Time Adaptation (STTA), where updates rely on only a small subset of data.",
"strength: SNAP-TTA demonstrates improved classification accuracy across adaptation rates (0.01... | 5.75 |
Ep0TtjVoap | [
"strength: The idea is clear, well-constructed, and well-explained.",
"strength: The figures are excellent and the algorithm is clearly laid out.",
"strength: The resulting models show considerable performance increases under a range of evaluation settings confirming the efficacy of the strategy.",
"strength:... | 6.75 |
6O3Q6AFUTu | [
"strength: First of all, the experimental results qualitatively demonstrate that the proposed method works better than both the linear spherical interpolation and the linear spherical interpolation combined with SDEdit.",
"strength: Second, the proposed method generalizes the linear spherical interpolation and th... | 8 |
RWJX5F5I9g | [
"strength: This paper extends the concept of Boltzmann machine to continuous valued recurrent neural networks. I could not follow all the details of the mathematics, but the analysis seems to be new and helpful.",
"strength: The simulation results are compared with human behavioral data.",
"strength: Novelty: A... | 8 |
cDInj7WMQm | [
"strength: The approach seems intuitive and there is a simplicity appeal to an adjacency augmented node feature vector.",
"strength: The results seem promising (even if the downstream task is more illustratory than extensive)",
"strength: The problem is certainly relevant and the idea of employing locality sens... | 5 |
m2NVG4Htxs | [
"strength: The analysis from longitudinal perspective is novel.",
"strength: The comprehensive experiments, large-scale dataset and code base provided by this work will definitely benefit the community of contamination analysis.",
"strength: This paper is well organized and easy to understand.",
"strength: Th... | 6.75 |
ySS7hH1smL | [
"strength: The authors did several experiments to justify their design choices and overcome the limitations of previous work.",
"strength: I think the Dynamic Expert Allocation technique is intriguing and intuitive, and the results+analysis seem good. (See Questions section, though)",
"strength: The authors did... | 7.5 |
4QWPCTLq20 | [
"strength: The paper addresses an important research problem, KV cache optimization for LLM inference, and proposes two interesting techniques: center of gravity eviction (CGE) and remote gap localization (RGL).",
"strength: Empirical results are competitive with prior work and baseline models.",
"strength: Th... | 3 |
MzmeLlDOkN | [
"strength: The idea of the proposal seems sound.",
"strength: The paper is generally well-written and easy to follow.",
"strength: The performance surpasses the previous SOTA methods by a large margin.",
"strength: The paper's combining multiple specialized experts with a group aggregation mechanism represent... | 3.666667 |
NJxCpMt0sf | [
"strength: The framework presented is original and interesting.",
"strength: It outperforms existing baseline models.",
"strength: The authors run experiments on multiple datasets and conduct an ablation study.",
"strength: The paper is well-structured and easy to follow.",
"strength: The motivation is clea... | 5.75 |
905dpz8K73 | [
"strength: The basic analysis and numerical experiments are pretty interesting and intuitive.",
"strength: The paper shows that the place cell attractor network can select the most likely position through what is essentially winner-take-all dynamics.",
"strength: The idea is intuitive, but the authors do a reas... | 5.333333 |
KsUh8MMFKQ | [
"strength: Development of a simulator for specific kind of object geometries",
"strength: Definition of a set of tasks to challenge manipulation methods on thin objects",
"strength: Overall easy to understand and follow",
"strength: The proposed simulator can model diverse thin-shell materials with a wide ran... | 8 |
j1FLTvgyAh | [
"strength: The paper addresses an important problem in few-shot learning, which is the limited availability of labeled data. The proposed method, MVMP, is a novel approach that employs multiple prompts and a mixed self-augmentation framework to enhance the performance of CLIP in few-shot learning.",
"strength: Th... | 2.5 |
eN0RyRVbSm | [
"strength: This paper provides a notable contribution by extending the concept of double descent, originally associated with generalization error, to OOD detection. This new perspective highlights a less explored aspect of model overparameterization, offering valuable insights into the robustness of overparameteriz... | 6.5 |
WszeEzjcq2 | [
"strength: This work stands out for its empirical examination of various GNN architectures and the experimental insights into the limitations of NAR models on the combinatorial optimization tasks TSP, MIS, and MVC. The proposed AR framework, which iteratively builds solutions based on partial solutions, shows promi... | 5.333333 |
IL71c1z7et | [
"strength: This is a very interesting paper and is well written. The problem that they investigate is well supported and they propose (to my knowledge) a novel algorithm that allows us to merge different neural networks by aligning their internal representation spaces. They do extensive experiments in simulation an... | 7 |
5tSLtvkHCh | [
"strength: The paper addresses an interesting variation of ICA with clear practical usage.",
"strength: The motivation of the paper is quite appealing.",
"strength: The theoretical results look quite impressive and of interest for the community (although I have not looked into the proofs in detail).",
"streng... | 5.5 |
TykT5YB89r | [
"strength: Clear improvement in scores. Motivation is strong — it is well-known that lip reading can improve a lot with more context and this work explores this aspect on a large scale for the first time.",
"strength: The paper introduces experiential peripheral information (EPI), marking the first time periphera... | 4.25 |
7X2BFPl18T | [
"strength: The paper provides a comprehensive study of how quantization affects two major paradigms of vision generative models, which is crucial for deploying these models efficiently. The finding that language-style models have superior bit-level scaling laws compared to diffusion-style models, might also shed li... | 4.75 |
mrBd4hyWlP | [
"strength: The authors have investigated the effects of two distinct acceleration factors, 4X and 8X, on MRI reconstruction quality.",
"strength: Furthermore, they provided evidence that a weighted fusion of SSIM and L1 loss metrics could lead to performance improvements.",
"strength: The paper is overall well ... | 1.666667 |
CpiOUOaqh3 | [
"strength: Genetic algorithms to optimize the epidemic model parameters.",
"strength: Using real data to assess the validity of the approach.",
"strength: The SEPAI3R3O model incorporates useful extensions like pre-symptomatic transmission and underreporting rate to capture disease nuances.",
"strength: More ... | 2 |
QFaj7InstQ | [
"strength: Writing. The whole paper is written well and easy to follow.",
"strength: Empirical Results. The paper provides strong empirical evidence that combining semantic and behavioral embeddings in the ILM framework leads to improved performance on semantic consistency tasks.",
"strength: General Applicabil... | 3.75 |
fxarGPFMmB | [
"strength: The combination of shaping, attribution, and hierarchical algorithms is novel and represents an interesting direction for future research.",
"strength: The flexibility of the framework, as it can be potentially combined with any feature attribution method to compute region importance. This means its pr... | 4.5 |
Xy1Lf7uR9H | [
"strength: The proposed model $ANOVA-NODE$ is described clearly and is easy to understand, further it seems technically solid.",
"strength: The contributions of this research to the field are well-defined, and the experimental results strongly support the claims made in the paper.",
"strength: The experiments d... | 5 |
BPb5AhT2Vf | [
"strength: High-quality writing: The content is well-written, with a focus on clarity, coherence, and precision.",
"strength: Improved results over baselines: The results outperform standard models, demonstrating significant enhancements in performance and accuracy.",
"strength: Efficient feature distillation a... | 6.666667 |
f3g5XpL9Kb | [
"strength: The paper generally explain their motivation and inspiration clearly.",
"strength: The experiments are sufficient to show the effectiveness of the proposed method on the downstream tasks.",
"strength: The supplementary material shows the details of the proposed method.",
"strength: The addressed pr... | 6.666667 |
agHddsQhsL | [
"strength: The paper first proposes the targeted attacks for the protection against diffusion customization, and validates the effectiveness of targeted attacks.",
"strength: The paper proposes an explanation for the superiority of targeted attacks, which may help understand attack-based protection.",
"strength... | 7.5 |
JEjVuVxbkf | [
"strength: The paper tackles an important real-world problem.",
"strength: The authors compare against a large and comprehensive grid of baselines.",
"strength: The authors test 2 multimodal fusion strategies for classification models and propose ways to evaluate explanation consistency across different methods... | 3 |
TDzAqTqDHV | [
"strength: The model itself, inspired by ColBERT, is interesting since it is a way to limit the number of vectors used to represent a document in a collection. It might even be adapted to ColBERT itself as a way to reduce the index size (but this is not investigated in the paper).",
"strength: Another strength is... | 3 |
CoQw1dXtGb | [
"strength: Rigorous and clear presentation of technical details and full analytic workflow.",
"strength: This work is a great example of theory-guided methods design for EEG.",
"strength: Impactful choice of research problem - performance of EEG models under label shifts will remain a ubiquitous concern, both c... | 6.2 |
EArTDUmILF | [
"strength: This article offers an in-depth analysis of the current challenges within the emerging domain of human emotion recognition using electroencephalogram (EEG), with a specific emphasis on cross-subject emotion recognition (ER).",
"strength: Author introduces the novel VBH-GNN method, and conducts comprehe... | 7 |
rvUq3cxpDF | [
"strength: Learning policies from unlabeled (lacking action annotations) demonstrations is an important problem because it allows to leverage large collection of videos available on the web. The proposed approach shows how we can leverage this data to train policies in an unsupervised way, even when no labeled demo... | 7.5 |
aWXnKanInf | [
"strength: The authors contextualized and described with clarity the strategy introduced to incorporate spatial information of activations in transformers for natural language processing. Both the training details and experiments are very well explained and organized.",
"strength: The work, inspired by previous e... | 8 |
gwZ90hFSL2 | [
"strength: It is a good idea to reinforce the processing of Chinese symbols and all the types of information it conveys.",
"strength: Possibly a new idea to model Chinese character information.",
"strength: The paper introduces several ways in which the Six-Writings Pictophonetic Coding (SWPC) framework and the... | 1 |
jYyste2HLP | [
"strength: The paper introduces FlyOrien, a bio-inspired model for learning object orientation, drawing from insect brain structures like the mushroom body and central complex.",
"strength: FlyOrien mimics biological neural circuits instead of traditional CNNs to learn object orientation after a single exposure."... | 4.333333 |
fV0t65OBUu | [
"strength: The paper demonstrates the application of OCM across different models (classical and latent diffusion), making the approach adaptable for a range of diffusion-based applications.",
"strength: The paper target efficient diagonal estimation to reach efficient sampling (leading to reduced number of step a... | 8 |
GeMWhBIzrk | [
"strength: Applies PINNs and its variants on a new real-world problem.",
"strength: Provides details of the model architecture and the loss functions used in proposed PI-RGSM framework.",
"strength: The problem of predicting river-canal groundwater seepage is interesting and is very important for a number of sc... | 3 |
ulGwcj1egv | [
"strength: The writing is clear",
"strength: FIRST is evaluated on two different tasks including machine translation and summarization.",
"strength: The paper adopts the idea of the router skipping specific layers for efficient LLM inference while maintaining performance.",
"strength: The paper adopts the LoR... | 3 |
9NfHbWKqMF | [
"strength: The paper introduces a novel and important direction for rendering at unseen, highly relevant test views, addressing a significant gap in current 3D rendering research.",
"strength: By employing point transformers for aggregating Gaussian splats, the method offers a sound and efficient approach to achi... | 7.5 |
AfZH9EEuRR | [
"strength: complex system implementation",
"strength: great practical significance",
"strength: experimental results in real-world environments",
"strength: The proposed method resolves stylistic QR code and small QR code problems by utilizing image enhancement modules, such as color inversion, multi-scale pr... | 2.2 |
KZSEgJGPxu | [
"strength: The paper is well written and easy to follow.",
"strength: The method is simple, sound and elegant.",
"strength: Generating a large number of expressions automatically is easy: these settings are the ones that may benefit more from a pretraining strategy.",
"strength: In terms of clarity the paper ... | 7.5 |
Qa6VvpE2Py | [
"strength: The authors propose a scalable segmentation architecture. By introducing a new object query mechanism \"query meld\" that combines learnable queries and conditional queries, the model is enabled to handle various types of objects, and its adaptability across different tasks and datasets is enhanced.",
... | 4.8 |
9BiVepgmWW | [
"strength: The paper proposes a novel algorithm to addresses a critical limitation of ZO methods which is the inability to capture low-rank gradient structures effectively.",
"strength: The application of momentum without substantial memory overhead is innovative.",
"strength: These features are valuable for fi... | 7 |
gLaEjxiRc3 | [
"strength: The design and motivation of the framework is interesting and unique from earlier works. This is welcome.",
"strength: The authors report a steady performance gain when using EDEN.",
"strength: They demonstrate the efficiency of EDEN, as it doesn't have a large negative impact on runtime.",
"streng... | 4.6 |
1D3TjFidCS | [
"strength: This paper proposes a new activation function for deep neural networks.",
"strength: This is an important topic, considering the significant impact of activation function choice on deep neural network performance.",
"strength: The paper is clear and easy to follow.",
"strength: Innovation in activa... | 3.5 |
7pIxS9m283 | [
"strength: The background is introduced clearly.",
"strength: The results of visualization are interesting.",
"strength: The paper is generally clear.",
"strength: Promising performances have been achieved.",
"strength: WISE-GNN addresses both attribute and topological aspects of graph data, aiming for a mo... | 3 |
tEAF9LBdgu | [
"strength: The approach defines a generic design for agents that can use LLMs, human inputs, certain tools or combination of them. LLM agents can use capabilities such as role playing, progress making from conversation history, proving feedback. Human involvement can be configured at different levels e.g. frequency... | 6.75 |
jvRCirB0Oq | [
"strength: The proposed diversity metric based on compression ratio of gZip is interesting and worth further exploring.",
"strength: A comprehensive set of diversity metrics are compared, and the run-time analysis is a helpful contribution to the literature on this topic.",
"strength: The authors provide reason... | 3.4 |
VbszSB4pK6 | [
"strength: The proposed method covers multiple aspects of the fine-tuning process, including contrastive learning, task-specific alignment, and distillation, showing a good grasp of fine-tuning challenges in data-limited scenarios.",
"strength: The paper includes multiple benchmarks and tasks (e.g., base-to-new g... | 3.5 |
Wd47f7HEXg | [
"strength: The paper is well-written and mostly clear.",
"strength: Adequate background and literature review are provided.",
"strength: The visualizations are very nice.",
"strength: Lots of numerical experiments are conducted and many of them are realistic data examples.",
"strength: The absolute error re... | 7.5 |
InWaCoIMMN | [
"strength: Nice approach and easy to follow exposition.",
"strength: It makes a lot of sense to use GBIs for this purpose.",
"strength: Promising initial results. Thorough appendix.",
"strength: It is great to see creative work that is seeking to push beyond simple behavioral assessments to more deeply unders... | 3 |
wTLc79YNbh | [
"strength: Exploratory Application of KAN to Time Series Forecasting: The paper attempts to introduce Kolmogorov-Arnold Networks (KAN) into time series forecasting, using multi-order polynomial representations to handle the complexities of different frequency components. While KAN has not been widely applied in thi... | 6 |
wYVP4g8Low | [
"strength: The method, though loosely inspired by Kolmogorov–Arnold Networks (KANs), is novel and presents an interesting approach to adaptive activation functions.",
"strength: The mathematical formulation is thorough, and the description is clearly articulated, making the technical details easy to follow",
"s... | 3 |
ZWi6RpT4mJ | [
"strength: The authors developed a post hoc method for compressing model parameters, which can be used to improve other compression techniques.",
"strength: Furthermore, the sparse coding idea is neat, and I have not seen it explored elsewhere.",
"strength: The idea of using compressed sensing in INR compressio... | 3.5 |
7erlRDoaV8 | [
"strength: Paper works on interesting and challenging problems, which are highly relevant to real-life use cases.",
"strength: The paper is novel in its framing of the problem - in particular, considering model editing for data removal is fairly unique in literature.",
"strength: The paper is quite broad spanni... | 7.5 |
EytBpUGB1Z | [
"strength: The paper is well-written, with a clear overarching research question (”How do transformer-based language models acquire long-context capabilities?”), the substantial findings of the existence of “retrieval heads” and their properties, and experiments to support each finding.",
"strength: The experimen... | 8 |
RmOXAa5H5Y | [
"strength: Overall, the paper is fairly well written. It reviews the background of self-supervised learning (SSL), the optimal transport and Wasserstein distance along with the different variants of Wasserstein distance including Sliced Wasserstein distance, tree-Wasserstein distance (TWD). The link between TWD and... | 3 |
5AbtYdHlr3 | [
"strength: The authors come up with an algorithm to learn the action model and they can then guarantee \"safeness\" and the \"approximate completeness\" of the approach.",
"strength: The problem is relevant, important and unsolved.",
"strength: The approach is theoretically sound and strong.",
"strength: The ... | 3 |
IiMKfn4dxk | [
"strength: The paper clearly explains its key claims, including limitations in molecular interaction modeling and the lack of focus on out-of-distribution (OOD) generalization.",
"strength: The proposed method is technically sound. Constructing a merged graph that combines two molecules to model molecular interac... | 5.75 |
tj5xJInWty | [
"strength: The paper is well written and easy to follow.",
"strength: The problem of privately generating temporal heterogeneous graphs is interesting and relevant.",
"strength: The paper introduces six novel metrics to the temporal and heterogeneous nature of graphs, allowing for more precise evaluation of the... | 7.333333 |
KBSHR4h8XV | [
"strength: Clear Motivation and Novel Insight: The paper is well-motivated and clearly written, with a compelling argument for early fusion to decouple the vision-language alignment learning from the manipulation control learning. This insight into separating the two learning tasks highlights a thoughtful approach ... | 3.333333 |
GpcqrBh6G8 | [
"strength: The author demonstrates an important application on plasma equilibrium forecasting.",
"strength: The author generates a new dataset, which can be a contribution if published.",
"strength: As for applications, they do propose to apply this to an important problem in physics which is difficult to do fo... | 3.666667 |
qGL6fE1lqd | [
"strength: The paper is well written and organized, and the method is clearly explained and reasonably illustrated for further clarity.",
"strength: Both the problem and the proposed method are thoroughly mathematically formulated, which further helps with making the method understandable.",
"strength: The prob... | 4.4 |
oBHF3urgyS | [
"strength: The overall algorithm is straightforward and easy to understand.",
"strength: Experiments are conducted under different settings and environments and the discussion of the experimental results is clear.",
"strength: This paper is clearly written and easy to follow.",
"strength: The idea of leveragi... | 3.5 |
EbxYDBhE3S | [
"strength: I think the idea is logical, and it resembles those of successful prior work (essentially inputs that contain the trigger will behave differently in some way or the other than inputs that don't).",
"strength: Experiments are well designed, I like the discussion of syntactic triggers. By the way, can yo... | 6 |
1gqR7yEqnP | [
"strength: clear and well-written: the manuscript is well-written and easy to follow",
"strength: relevant topic: the authors tackle an interesting finding (i.e., training with random labels leads to substantial performance increase) that is relevant to the community and connected to multiple popular topics like ... | 2.2 |
jZASmAlxp2 | [
"strength: The writing is clear and easy to understand.",
"strength: The authors conducted numerous experiments to verify the feasibility of the method.",
"strength: This self-supervised training paradigm is quite intriguing. It combines contrastive learning with MAE-based completion to achieve better results."... | 6.2 |
E1NxN5QMOE | [
"strength: The authors propose a novel application of oblique decision trees in the online group fairness setting.",
"strength: The work is original as it explores the novel application of oblique decision trees in the context of group-fair online predictions; the authors provide key insights and explore the nove... | 7 |
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