Split (2)

train · 2.31k rows

paper_id stringlengths 10 10	items listlengths 4 82	gt float64 1 9.5
yCAigmDGVy	[ "strength: This is the first work of my knowledge to utilize quantum hardware models to accelerate Lipschitz constant estimation and is interesting in concept. The graph coarsening and refinement strategy appears to be a novel contribution of theirs which seems generally useful.", "strength: The computation times...	4.4
EqcLAU6gyU	[ "strength: The work shows three components which improve the ability of multi-agent LLM systems to improve the results of general LLM queries as compared to current methods.", "strength: All three components are shown to meaningfully add to the overall model, and directly tackle the presented critical principles ...	5.6
kuchZdMRMa	[ "strength: The paper covers a range of topological descriptors and presents a detailed comparison of their expressivity, stability, and computational expenses.", "strength: The paper considers applications in molecular graphs, offering insights that could benefit chemistry and drug discovery.", "strength: The p...	4.6
KWO8LSUC5W	[ "strength: A primary strength of the method is its provision of an unconstrained continuous optimization approach for acyclic structure learning.", "strength: The method introduces a novel, differentiable approximation known as the \"smooth orientation matrix,\" which depends on a temperature parameter.", "stre...	5.6
GGZISiwgNt	[ "strength: This paper provides the first policy gradient-based method for average reward RL in non-stationary environments, and derive dynamic regret bounds.", "strength: The paper explored the model-free approach in non-stationary RL in average reward setting and result-wise, $\\Delta_T$ dependency seems to be b...	5.571429
o2Igqm95SJ	[ "strength: The issue the library tackles is impactful. CAs play a huge role in various areas of research and having efficient implementations is, of course, key to experimenters. Dramatic improvements in performance have been known to enable a way broader research community in other fields.", "strength: The libra...	8
CMqOfvD3tO	[ "strength: The paper is good enough for me as the clear motivation and consistent performance gain on several public semantic segmentation datasets when integrating the proposed Class Distribution-induced Attention Map to different SOTA methods.", "strength: The motivation is clear and illustrated well in Fig. 1....	6.8
vjbIer5R2H	[ "strength: Novel analysis of unbounded loss functions in the transductive learning setting", "strength: Mathematical rigour in deriving the theoretical bounds", "strength: Practical applications to GNN scenarios", "strength: This paper is the first to derive concentration inequalities for the supremum of empi...	3.25
M3QXCOTTk4	[ "strength: Presentation - The paper is extremely clear and excellently written. The problem, motivation, and experiments are articulated very clearly. I like that they look introspectively at their own experiments and reason clearly about what can be inferred/concluded from their experiments without making unreason...	7.5
plAiJUFNja	[ "strength: The strengths are that the results section seems to show that their methods out-compete the others.", "strength: They were also able to formulate interesting theorems that in an abstract way generalizes drug interactions.", "strength: The proposed approach systematically improves drug interaction pre...	2.5
EG68RSznLT	[ "strength: The paper introduces a novel diffusion-based framework for offline preference-based reinforcement learning (PbRL) called Flow-to-Better (FTB), which optimizes policies at the trajectory level without Temporal Difference (TD) learning under inaccurate learned rewards. This approach is innovative and has t...	5.666667
LYG6tBlEX0	[ "strength: The proposed H-GAP is even simpler than the existing offline RL methods while it is general for different downstream control tasks, meaning that the algorithm does not need access to the simulator and train different high-level policies.", "strength: Experimental results also show that the proposed H-G...	7.333333
f7VXdQTbyW	[ "strength: The work examines an interesting application of discussion thread generation.", "strength: The model uses relatively lightweight models for the characterisation (BERT) and generation, incorporating a CNN layer.", "strength: The work performs a human evaluation of the model and baselines.", "strengt...	2
xZDWO0oejD	[ "strength: The paper is well written and fairly easy to follow.", "strength: The proposed approach is novel and intuitive as increasing the attention scores of highlighted tokens will lead to more contribution in the output projection of tokens during generation.", "strength: The multi-task model profiling to s...	5.75
8KQzoD5XAr	[ "strength: This paper presents a clear discussion of an important and under-explored topic. Low-level programming languages are an appealing area in which to automate code reasoning, and programs in HDLs are notoriously difficult to verify.", "strength: thorough evaluation in terms of comparison to other SDG meth...	7
EVuANndPlX	[ "strength: The paper is clearly presented and easy to follow.", "strength: The GNN-RAG approach integrates seamlessly with various LLMs.", "strength: The proposed method shows notable improvements in the KBQA task.", "strength: The paper propose to leverage GNN as a retriever to improve RAG in complex KGQA.",...	5.6
zUDbPgskDS	[ "strength: The specifically tailored development of machine learning methods for crystal structures is an important problem with relevance for the society. Because of this also machine learning conferences like ICLR should be open for publications that develop these specific methods.", "strength: Modeling the per...	3.25
oeP6OL7ouB	[ "strength: The core idea is pretty simple and straightforward, which I personally enjoyed. The authors have demonstrated the validity of their formulation from multiple perspectives, making the approach theoretically sound and insightful.", "strength: The proposed formulation leads to improved reconstruction qual...	7
GTe9PDhm8v	[ "strength: The idea of optimizing the weight rounding error in LLM is interesting, while most previous methods focus on the weight clipping or distribution transmation.", "strength: The author proposes Progressive Adaptive Rounding strategy by deviding all rounding variables into harden and soften.", "strength:...	5
trKNi4IUiP	[ "strength: The idea is novel and interesting, and is well evaluated empirically and theoretically.", "strength: In addition to the detection of poisoned node, this paper also proposes robust training to enhance defense performance further. This can safeguard GNN models against different kinds of attacks.", "str...	7.5
lMW9d1AqC9	[ "strength: The problem is difficult, and of interest to the conference.", "strength: The paper introduces a theoretical foundation to sign language to SQL query translation.", "weakness: The topic is generating SQL queries from sign language which is esoteric, to say the least, while being presented as an \"eme...	1.666667
E48QvQppIN	[ "strength: The idea of applying martingale in antibody optimization is novel, and surprisingly fits the nature of evloving process of antibody.", "strength: Wet lab experiment is a highlight.", "strength: This paper focuses on antibody sequence optimisation, an important problem of multi-objective nature that i...	7.25
OIvg3MqWX2	[ "strength: I particularly find Theorem 3.6 interesting, and useful for the distinction of point clouds through their corresponding SCHull graphs. In general, the authors provide a well-defined set of propositions for defining connectivity, rigidity, and sparsity for the SChull graphs, making it useful for predictin...	8
vlQ56aWJhl	[ "strength: Evaluation is done on variety of tasks.", "strength: Paper is well-written and easy to follow.", "strength: S-TLLR is a groundbreaking approach that successfully trains SNNs with high efficiency, addressing the temporal and spatial credit assignment challenge that is inherent in such networks.", "s...	5
lLzeKG6t52	[ "strength: The technique of using k-additive games to approximate the Shapley values is novel and may be of interest beyond the use case highlighted by the authors. The paper makes a clever use of existing results. I find the problem of approximating Shapley values and the application of explaining feature importan...	4
Q150eWkQ4I	[ "strength: The proposed method has higher performance than previous diffusion-based methods on CASSI reconstruction.", "strength: The method costs less time in both training and inference time than previous diffusion-based methods.", "strength: The novelty is good and interesting. The big idea of partitioning t...	7
k38Th3x4d9	[ "strength: The integration of Granger causal discovery with root cause analysis via an encoder-decoder structure is a novel approach. This fusion provides a comprehensive method to identify both causal links and root causes of anomalies.", "strength: Modeling exogenous variables under normal conditions adds robus...	8
ZaudLwn0Hm	[ "strength: Fine-tuning vision-language foundation models (e.g., CLIP) for downstream tasks is increasingly crucial and practical in today’s research landscape.", "strength: The proposed methodology is simple yet effective, demonstrating state-of-the-art performance.", "strength: The proposed method seems a very...	2.5
Zh9gz3CaWm	[ "strength: FedMUD introduces a fresh perspective on handling communication bottlenecks by leveraging model update distillation. This approach decouples the updates from the network architecture, which has the potential to transform how updates are transmitted in FL.", "strength: Cute, well principled idea", "st...	3.75
jqx5XI4Yr3	[ "strength: The paper is well-written, with a clear narrative that effectively explains the motivation and details of the proposed methods.", "strength: The study involves extensive experiments across over 20 tasks, demonstrating the competitiveness of ProteinAdapter compared to state-of-the-art approaches.", "s...	3.4
GnBBSlUb0S	[ "strength: The paper is easy to read, and looks interesting to most people. It applies a genetic algorithm to optimize for the attack, which is quite novel.", "strength: The experiments section has extensive baselines. And the result performance looks good.", "strength: The problem statement studied in this pap...	4.6
UnCKU8pZVe	[ "strength: The paper introduces an innovative approach by framing multi-objective Bayesian optimization (MOBO) as a non-Markovian reinforcement learning problem. This represents a creative combination of existing ideas from non-Markovian RL and Transformer-based sequence modeling, marking a fresh perspective in the...	6.25
d98CzL5h0i	[ "strength: The paper manages to combine a diverse set of ideas from prior RL research and formulate multiple algorithms within the 9 page limit, which is no small feat.", "strength: Authors conduct comprehensive evaluations with multiple realistic tasks and near-SoTA language models. The experiments are using sta...	4.75
gz8Rr1iuDK	[ "strength: Extensive experiments on two challenging tasks and state-of-the-art performance on prediction accuracy.", "strength: clear conclusion that symmetries are more effective than physical constraints and optimal performance was achieved by combining both.", "strength: Introduction of novel input and outpu...	4
agPpmEgf8C	[ "strength: The description of the methods and approach is fairly clear and the overall goals of the paper are clear, with some room for improvement. The numerical experiments provided demonstrate how a predictive loss benefits the learned representations available in a downstream area (not necessarily directly rel...	8
i8LCUpKvAz	[ "strength: Making provably-efficient RL algorithms, even for the simplest setting of tabular MDPs, more practical is a relevant problem, and the paper makes a good contribution in this direction", "strength: EQO achieves strong results despite its simplicity, which I think is a big plus", "strength: I found the...	7
iqdqRmqUsD	[ "strength: The idea of learning a latent world model with an object-centric representation is sound and extending the known Slot Attention mechanism to a control setting is a good move.", "strength: The authors created a custom-made task suite to highlight the utility of object-centric reasonings in a MBRL settin...	4
6xfe4IVcOu	[ "strength: The paper presents a novel technique, Chain of Hindsight (CoH), which addresses the challenge of aligning language models with human preferences and values by leveraging human feedback.", "strength: The approach is easy to optimize and can learn from any form of feedback, regardless of its polarity.", ...	7
pNgyXuGcx4	[ "strength: It’s got this new loss landscape sharpness metric that basically acts like an early-warning system for training issues, spotting instability before it even shows up in the loss curve which helps predict when training might go off-track.", "strength: Unlike some of the latest studies that stick to small...	4.75
LRrbD8EZJl	[ "strength: The paper introduces a theoretical analysis of the performance bound in cross-domain offline policy adaptation, providing a clear foundation for the proposed method.", "strength: The optimal transport-based data filtering method is motivated and efficient to compute the Wasserstein distance between sou...	6.666667
G2Lnqs4eMJ	[ "strength: The construction is simple to follow and the statements of the theorems are somewhat easy to understand.", "strength: Improvement of the width required to approximate the true function from $O(d^2)$ to $O(d)$ is significant.", "strength: Originality: The related works are adequately cited. The autho...	2.5
2HdZPEQUig	[ "strength: Significant qualitative results are included, including failure cases.", "strength: The technical contribution appears to be novel for VOS.", "strength: The paper is well-written and structured, with clear explanations of the novel hierarchical slot attention mechanism and its advantages in scaling o...	3
Y89o3LAEHX	[ "strength: The paper addresses the issue of loss imbalance in forecasting methods that decompose a time series into sub-series, which can improve forecast accuracy in many applications.", "strength: Overall, the paper is clear and easy to read.", "strength: The manuscript is well-written and well-structured, wi...	2
sKYHBTAxVa	[ "strength: This paper makes very well rounded verifiable benchmarks that cover a large number of tasks in different ways. This in itself is unique and a great contribution to LLM research.", "strength: While some of the tasks are inspired by existing benchmarks, some seem to be completely novel evaluation strateg...	7.333333
6w9qffvXkq	[ "strength: Instead of using strict orthonormal constraints (Stiefel manifold), they propose a generalized version with a learnable \"overlap matrix S\" that expands the solution space beyond traditional orthonormal matrices while maintaining the beneficial properties of orthonormal approaches and can be optimized u...	2.6
C4BikKsgmK	[ "strength: The motivation and goals of this work are very relevant. Being able to sample protein equilibrium distributions without need of computing expensive molecular dynamics can have a high impact in the sampling community.", "strength: The metrics used in the paper to assess the quality of the equilibrium di...	6
YR79EyejsG	[ "strength: The key idea has some merit, with some analogues to meta-learning approaches", "strength: The related work is an interesting compilation of papers", "strength: Figure 3 is well-illustrated, aiding in the exposition of the paper's ideas.", "strength: PCA Visualization based on SS Model is quite inte...	5.75
XdRIno98gG	[ "strength: This is the first end-to-end method for self-supervised monocular depth estimation in reflective regions. The proposed triplet loss is very simple and can be integrated into any framework for SSMDE.", "strength: Diverse Experiments: The paper shows diverse experiments with multiple datasets and cross v...	6.666667
RBaDiInDRg	[ "strength: The idea of using dynamic LM-based systems to expand the historical analysis of human history, conflicts, and potential de-escalatory measures is novel with the potential for significant interdisciplinary impact as a tool for social sciences.", "strength: The authors study three different historical co...	3.5
qU1GtrDDst	[ "strength: The description of model architecture is clear.", "strength: While CPC itself is not new, this paper attempts to apply it in a challenging, stochastic domain—financial time series—which traditionally poses difficulties for predictive models due to noise and volatility. This application may contribute t...	1.8
XAN8G0rvoB	[ "strength: The paper addresses an important problem: detecting whether a set of samples has been used for training the model, assuming white-box access to the model (weights, gradient info, etc.).", "strength: It proposes an adaptation of an existing mechanism (KI), which to my knowledge is the first time this me...	6.5
b7HOhqXiZs	[ "strength: The paper aims to reduce communication volume when training, which helps to lower the barrier to training or fine-tuning large models as expensive, high-performance networks are not required.", "strength: The paper is clearly, identifies its hypotheses and assumptions, and explains its algorithm.", "...	2.6
zqXANcFO9T	[ "strength: DEFD-PSGD is a novel algorithm in the sense that it synchronizes model parameters by applying compressed model updates, unlike prior works [Koloskova et. al., 2019] which consider applying compressed model gossip.", "strength: The algorithm is simple and clear.", "strength: The theoretical convergenc...	1.666667
4UiLqimGm5	[ "strength: Authors are tackling a very relevant problem, with wide interest to practitioners.", "strength: Paper is well written and easy to follow.", "strength: Claims in the paper are sounds. I particularly like that the argument about spectral bias and not learning high frequency components is verified empir...	7
zMPHKOmQNb	[ "strength: The proposed method is intuitive and technically sound. Decoupling the sampling and denoising steps is an elegant idea.", "strength: Thorough in silico evaluation using antibody-specific metrics, uniqueness, diversity, etc. In particular, a distributional conformity score was introduced to evaluate th...	8
w3rbBVJ9Jg	[ "strength: I am also very impressed by the experiments section! Specifically, I LOVE that the authors look at multiple different metrics which allows one to look at the results from multiple different angles, which is very important.", "strength: The proposed architecture is something I have never seen before and...	6.25
MpA6HMD7Wq	[ "strength: Although the literature claimed that black-box algorithms may be easier to work with while symbolic algorithms may generalize better, there is no strong justification. This manuscript conducts an empirical study to compare these two ideas to justify the assertion.", "strength: The designed symbolic opt...	3
KBixkDNE8p	[ "strength: This paper studies an interesting research question and aims to understand why LLMs are not robust to deep reasoning from a psychology perspective. This could inspire more researchers in interdisciplinary fields to explore how to evaluate and interpret language models from their expertise.", "strength:...	3
o8vCBFonHC	[ "strength: The parameterized economics game design in the paper is comprehensive, and the scale of data simulation is very large.", "strength: Using a regression model to simulate the results of human participants to compare with LLM behavior is new and interesting.", "strength: Comprehensive Framework: The pap...	4.75
11oqo92x2Z	[ "strength: In this work, the authors investigate the use of NAS (Neural Architecture Search) for identifying solar farms from satellite images, which is a new and innovative application of NAS.", "strength: Additionally, instead of limiting themselves to just NAS, the authors have also implemented a transfer lear...	2.5
A1WwYw5u8m	[ "strength: The paper has very clear and readable presentation.", "strength: Additionally the convergence methods seem novel.", "strength: A claimed $\\mathcal{O}(\\epsilon^{-3})$ sample complexity for $\\epsilon$ sub-optimality gap target.", "strength: The use of constant critic step size enhances the pract...	3
MEbNz44926	[ "strength: This paper introduces a pretty nice quantization technology to achieve efficient super-resolution tasks by a binarization quantization strategy.", "strength: The motivation of this paper is clearly exhibited in the abstract section, which contains two parts, (1) insufficient high-frequency information ...	8
CFOQd4tqn1	[ "strength: The experiments show that the method improves the performance measures chosen, and that the proposed method generates images that depict more consistent geometry than do the images generated by Zero123.", "strength: path features are more informative than class features in training new view synthesis m...	4
snocoXIQXz	[ "strength: The paper addresses a novel idea, namely learning high-precision algorithms with transformers.", "strength: Their proposed training setup is well motivated by empirical observations.", "strength: The observations that standard transformers cannot solve linear regression to machine precision and are b...	6
cywG53B2ZQ	[ "strength: This paper is easy to follow though the writing needs to be improved. Some content arrangements are not appropriate, for example, NEAT-PP variant is not well explained.", "strength: The proposed method is easy to implement and the results show that it can help the LLM align better.", "strength: The p...	2.5
Daq6Pw3TjN	[ "strength: The paper presents a clear and convincing motivation, effectively setting the stage for the proposed work.", "strength: There is a notable degree of innovation in the methodology, and the authors have thoroughly reviewed prior approaches, clarifying how their contributions advance the state-of-the-art....	5.333333
Ey8KcabBpB	[ "strength: The paper is well-written and explores an interesting application. In essence, it describes a system with multiple robots, each equipped with an LLM and distinct capabilities. The robots communicate to determine task distribution, using robot resumes to identify which robot is best suited for each task. ...	6.75
nSDOkm0SKo	[ "strength: This submission studied an important problem, i.e., how companies' interdependencies influence their stock values.", "weakness: It lacks a clear research niche, a sufficient literature review, a proposed novel approach as a solution, and comprehensive evaluations to support arguments.", "weakness: Th...	1
BlCnycxgJQ	[ "strength: The problem of guaranteeing structure at close to the stationary points seems important which is not very well studied.", "strength: The method seems novel and interesting.", "strength: The authors provide a stronger result than that of Deleu & Bengio (2021), showing that their subproblem solver for ...	5.666667
Njx1NjHIx4	[ "strength: The CRH provides a new framework to interpret basic statistical aspects of how neural networks develop representations. The system of CRH equations generalize and organize into a coherent view previous, partial attempts to reveal alignment phenomena between representations, gradients and weights. By rel...	7.5
7DY2DFDT0T	[ "strength: The proposed method addresses an important research problem of computational cost associated with training sparse LLMs. More often than not, sparse LLMs have to be trained from scratch.", "strength: The proposed approach supports gating within a layer on the attention or the feedforward sub block suppo...	2.5
5xwx1Myosu	[ "strength: Overall, there is strength in its novelty of proving that bias learning in neural networks can have high expressivity that performs almost as well as a fully-trained network. This is significant because bias learning trains fewer parameters than a full network.", "strength: Nature of bias learning is m...	6.5
Nk1MegaPuG	[ "strength: The analysis of existing methods is reaonsable. The paper starts the discussion on categorizing existing paper with a figure and the categorization is reasonable.", "strength: The selection of base models and benchmarks is representative and comprehensive.", "strength: The paper introduces a novel ca...	4.25
hJ1BaJ5ELp	[ "strength: In neural network pruning, a line of research focuses on iterative methods that start with a dense network with zero sparsity and gradually increase the sparsity level. A well-known example is the Iterative Magnitude Pruning (IMP) algorithm, which, while computationally expensive, is highly effective at ...	7.5
2mqb8bPHeb	[ "strength: Deep understanding of diffusion models' behavior across timesteps", "strength: Thorough empirical validation of latent space similarity between models", "strength: Clear frequency analysis supporting the theoretical foundation", "strength: Novel perspective on leveraging model size differences temp...	7
exKHibougU	[ "strength: The proposal of a training-free approach presents a pipeline that is well-suited for the application of off-the-shelf LLMs and diffusion models. Its simplicity yet effectiveness stands out as a notable strength.", "strength: The discovery that LLMs can generate spatiotemporal layouts from text with onl...	6
Q0mp2yBvb4	[ "strength: The paper is targeting an important problem. With LLMs being readily available for various AI for Code scenarios, whether they are a good tool to use for vulnerability detection is an important problem.", "strength: The paper targets a reasonable number of LLMs for evaluation.", "strength: The paper ...	5
p30YulvDbj	[ "strength: Simplicity: The authors put forward a simple model, whereby only one channel is used to perform the EEG recordings. This may decrease the complexity as well as the cost related to the acquisition of such data in clinical or practical settings.", "strength: Focused Application: The concentrated nature o...	2
skGSOcrIj7	[ "strength: The problem tackled in this paper, i.e., representation learning in DAGs, is challenging and significant in the graph machine learning community.", "strength: Theoretical guarantees of the proposed approach are provided in the manuscript.", "strength: The paper offers originality within its domain by...	6.8
bKAqK7Bh7n	[ "strength: This work addresses one of the most important problems in de novo drug design, the translational efficiency that oracles transmit to the generation process.", "strength: The hierarchical latent space, each corresponding to a fidelity level, is a clever design choice that allows the model to specialize ...	5.2
6RtRsg8ZV1	[ "strength: The paper tackles an interesting and critical problem setting in sample-efficient reinforcement learning (RL), which has significant implications for many real-world applications where data collection is costly or time‑free.", "strength: The authors provide both empirical evidence and theoretical analy...	7.5
ZINaxJyoQr	[ "strength: The paper proposes to analyze theoretically the importance of normalization in Barlow Twins. While present in almost all SSL methods, normalization is often left as an implementation detail, so trying to understand its impact is a welcome goal.", "strength: The paper itself is quite well written, and f...	1.5
yroyhkhWS6	[ "strength: This paper proposes a scheduler for the synchronization interval of local SGD/ADAM, a.k.a. the Quadratic Synchronization Rule (QSR), which recommends dynamically setting such intervals in proportion to the inverse of the square of learning rate.", "strength: The proposed algorithm is supported by theor...	6.75
Pc94ncbkoo	[ "strength: This paper focuses on data efficiency for object detection, which is very important for current data-scarce computer vision tasks because the annotations and storage for object detection are both costly and burdensome.", "strength: The proposed method seems to be effective under different pruning rate,...	4.75
wmX0CqFSd7	[ "strength: The authors approach is very interesting.", "strength: The paper is straightforward and aims at directly addressing the problem it uses.", "strength: It is clear and fairly well-written.", "strength: The experiments provided by the authors seem to confirm the validity of the proposed method.", "s...	7
OspqtLVUN5	[ "strength: The authors motivate the problem clearly with the length bias problem of DPO with Figure 1, and showing that earlier tokens are more crucial in alignment settings. Figure 3 motivates the need for temporal decay instead of treating all tokens across a sequence uniformly.", "strength: Overall it is a com...	6.25
V6AI97jJ3J	[ "strength: The introduction and related work sections are well-organized, providing readers with a clear understanding of the topic.", "strength: Furthermore, the contributions and target issues are clearly articulated, highlighting the novelty of the proposed algorithm.", "strength: The experimental settings a...	3
KijslFbfOL	[ "strength: The paper presents a novel approach SIIHPC to incomplete multi-view clustering through similarity-level imputation, which diverges from conventional methods that focus on reconstructing missing samples or features. This approach serves as an efficient alternative to traditional recovery-based techniques....	7.5
KP4xJQcG3H	[ "strength: The problem considered in the paper and the motivation are interesting (albeit difficult to understand in the current presentation).", "strength: The authors are making connections with classical approaches in nonsmooth optimization such as Lagrangian, Moreau envelopes, mirror descent and Bregman diver...	5.5
DmEHmZ89iB	[ "strength: The paper provides thorough theoretical proof and experimental validation.", "strength: The paper is well-structured and clear in its approach, with intriguing perspectives.", "strength: The method proposed in the paper has a wide range of application scenarios.", "strength: This work uses a single...	5.75
m3xVPaZp6Z	[ "strength: The problem of policy rehearsing in offline reinforcement learning is interesting and challenging as an academic topic.", "strength: The description to the problem modeling and the methods is clear and generally easy-understanding.", "strength: The proposed method is well motivated by comprehensive p...	7.5
NSVtmmzeRB	[ "strength: The method shows strong performance, exceeding prior methods.", "strength: It's great to see a molecular sampling method used that handles the continuous positions and discrete atom types so naturally.", "strength: The method improves consistently when more compute (=sampling steps) is used.", "str...	8
HDmmwwTIlf	[ "strength: The paper proposes a combination of neural networks with a classical numerical method. This is still a poorly explored topic in the literature, with a lot of potential.", "strength: The paper has a theoretical component that proposes a practical upper bound on performance.", "strength: This paper pre...	2.5
OdnqG1fYpo	[ "strength: The inclusion of a motion model for MR reconstruction is sound and by leveraging the Fourier slice theorem, the inclusion directly in image-space allows simple motion modeling.", "strength: The work includes extensive evaluation, including several comparison methods as well as reasonable ablation studi...	7.5
2wwPG1wpsu	[ "strength: The authors conduct a series of experiments on existing models and datasets and spot the phenomenon called Degeneracy.", "strength: The authors collect a dataset from the electricity industry.", "strength: This paper can be considered as the first benchmark for LSTF problem after the widespread appli...	2.5
FS2nukC2jv	[ "strength: The paper introduces \"Contextual Fine-Tuning\" (CFT) as an extension of instruction fine-tuning to improve domain-specific learning, which is well-positioned to address limitations in traditional methods.", "strength: Extensive experiments demonstrate that CFT improves LLM performance on real-world da...	6.75
GxmltrqVNn	[ "strength: A module GABins to capture gated attention in the low-level features and divide the predicted depth range into bins where the bin widths change per image. The final depth values are estimated by linearly combining with the results of the multiscale feature fusion and bin centers.", "strength: A single-...	2.5
2DD4AXOAZ8	[ "strength: The idea is simple and clear, the experimental setup is also quite clear.", "strength: The combination of sparsifying the token of sequence and sharing the KV cache across layers seems to be a promising method to reduce the inference cost. This paper conducts some interesting experiments, from pre-trai...	2
I5MquO1g7R	[ "strength: The proposed variational EM algorithm is designed to be resilient against misidentification of change point numbers, and through the integration of stochastic approximation techniques, the paper addresses the computational intensity traditionally associated with HMMs.", "strength: The paper not only en...	4.75
N8Oj1XhtYZ	[ "strength: This work demonstrates its originality through several innovative contributions, including the Deep Compression Autoencoder, Linear DiT, and impressive 4K generation ability.", "strength: These innovations enhance the quality and efficiency of high-resolution image generation while reducing computation...	8.5

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