Split (2)

train · 2.31k rows

paper_id stringlengths 10 10	items listlengths 4 82	gt float64 1 9.5
dIkpHooa2D	[ "strength: The problem is important and relevant to OOD generalization.", "strength: The proposed method is novel in its approach and theoretically justified.", "strength: Experimental results show that the proposed method outperforms groupDRO.", "strength: The paper is well written.", "strength: The major ...	6.75
87DtYFaH2d	[ "strength: The refusal capabilities appear to be an important issue indeed. It is interesting to see work towards this direction to improve the RPAs' performance.", "strength: The paper is well written -- the study follows a step by step procedure, from evaluation design to comparison, and finally, to methods to ...	5.2
plflYGf23L	[ "strength: Novel perspective on handling conflicts in model merging", "strength: Simple but effective solution", "strength: Practical value demonstrated in experiments", "strength: Clear problem formulation with empirical validation", "strength: Comprehensive ablation studies", "strength: Results generall...	4.75
0jHkUDyEO9	[ "strength: High-quality single-view 3D reconstruction. The proposed method shows high-quality 3D reconstruction that is significantly better than previous state-of-the-arts.", "strength: Comprehensive ablation studies and convincing experiments. Authors report various benchmarks to show improvements compared to p...	6.5
jOuHjFw71C	[ "strength: The paper is highly timely and helps readers understand the specific performance of the o1 series models on the two benchmarks.", "strength: The paper focuses on important practical considerations such as reliability and efficiency of LRMs", "strength: The paper utilizes established benchmarks while ...	3
rpbzBXdo4x	[ "strength: I liked this paper, and think it makes a valuable contribution in understanding LLM cognition: it's clearly important to know when CoT might decrease model performance.", "strength: Timely topic of interest to the ICLR community.", "strength: Solid methodology supported by fairly broad experimental r...	5
RXFVcynVe1	[ "strength: The paper is clearly written and easy to follow.", "strength: Bagging LLM prediction, LM features and shallow features is reasonable for the node classification task.", "strength: The experiments show the method can achieve SOTA performance on several benchmark datasets.", "strength: The author pro...	5.666667
85Eej2kUHQ	[ "strength: The core strength of the paper is its strong theoretical foundation, presenting a novel idea of using Mahalanobis distance to extend the randomized smoothing framework, enabling it to handle complex adversarial attacks.", "strength: It demonstrates originality by expanding randomized smoothing to incor...	2.333333
lUyYX9VFgA	[ "strength: The technique proposed is novel and demonstrates well the point that the paper wants to make in that using code-of-thought prompting leads LLMs to circumvent their safety filters and generate toxic responses.", "strength: The result indicating that using this attack mechanism has a compounding effect i...	3
V4Xs283LHH	[ "strength: The paper studies the question of sampling, which clearly has applications in, e.g., the video domain. Efficient sampling can be critical to obtaining good performance on some algorithms, so the overall research questions the authors investigate is an important one.", "strength: The strengths of the p...	2.5
hgayrNSbri	[ "strength: The paper is well-written and easily comprehensible. However, there is room for improvement in conveying the analysis and intuition behind the discussed concepts.", "strength: While the paper addresses a crucial issue in the multimodal domain, the proposed solution's persuasiveness could be strengthene...	3.4
omv3VfVIQt	[ "strength: It raises the question about how lexical diversity can influence the retrieval stage, and proposes a comprehensive framework to handle it.", "strength: I believe the proposal of query decoupling part is good, it covers three attributes from a reasonable perspective.", "strength: The CRC utilizes the ...	5.25
wUtXB43Chi	[ "strength: The paper is well-written and easy to understand.", "strength: The results section is elaborate with a wide range of benchmarks to demonstrate the advantages of the proposed methods.", "strength: The appendix section and the analysis with synthetic data to corroborate the claims are very insightful."...	7
friHAl5ofG	[ "strength: Although the proposed technique is simple, it seems (based on myriad experiments) to be effective. Figure 2 demonstrates a clear superiority of GVL over LIV, the baseline that the authors chose to test, for text-based goals. Figure 4 demonstrates that GVL can be decently effective at predicting values co...	7.5
YwJkv2YqBq	[ "strength: The paper is very clearly written. Previous work is totally explained and the authors are very straightforward when describing their novel contribution (Lines 42-51 and Lines 106-107).", "strength: The convergence rates are a clear improvement upon previous work, which either achieves similar rates wit...	6.75
6CetUU9FSt	[ "strength: The authors have selected a diverse set of modern video games, including Minecraft, Minecraft Dungeons, and Counter-Strike: Global Offensive, for their experimental studies. This choice reflects a significant step forward from the commonly used Atari games in previous research, providing a more realistic...	2.5
06B23UkNid	[ "strength: New molecular multimodal LLM framework for simultaneous incorporation of 1d 2D and 3D representations.", "strength: New Transformer architecture MQ-Former.", "strength: The paper integrates both 2D and 3D molecular structures to enhance the model's understanding of molecular data.", "strength: The ...	4
am5Z8dXoaV	[ "strength: Evaluated the proposed method in diverse task.", "strength: Sharp focus on dynamic token pruning for the prefilling stage. This paper proposes an innovative approach to tackle the TTFT problem by shifting part of the prompt token computation to the decoding stage. The dynamic token pruning at different...	5
X0fDR10B7c	[ "strength: Original exploration of PC concepts in this context", "strength: The paper provides another way of answering causal queries from the conventional methods, which is interesting in itself", "strength: The paper is self-contained with a pretty novel approach for causal inference.", "strength: The prop...	4.75
4HRRcqE9SU	[ "strength: The proposed normal deflection fields, which correct inaccurately estimated normals from normal maps, seem reasonable to me.", "strength: Table 6 and Figure 5 effectively showcase the contribution of the method's design through comprehensive ablation studies.", "strength: The experimental results dem...	7.5
29p13QihRM	[ "strength: Effectively uses SAVi to extract object-centric frame features, enhancing computational efficiency and model accuracy.", "strength: Compares against two baseline models (Seer and Susie), highlighting the advantages in efficiency and success rate of the proposed approach.", "strength: Demonstrates gen...	4
fAGEAEQvRr	[ "strength: Fig. 1 and the first paragraph of 4.2 form a really nice motivation! I'd recommend moving them to the introduction. This forms a well-defined problem that is of relevance to understand the dynamics of gradient descent on more complex systems, which is relevant to the community. The approach appears novel...	5.5
0er6aOyXUD	[ "strength: The topic on how to Improve LLM reasoning capabilities has recently gained a lot of attention. This paper focuses on having good benchmarks for evaluating these efforts, and this could be very impactful if done correctly.", "strength: Authors identify flaws of existing benchmarks and make good efforts ...	5.4
HqLHY4TzGj	[ "strength: The \"UoI\" strategy proposed in this paper is highly innovative and practical, as it can seamlessly integrate into existing two-stage object detection networks, significantly improving detection performance.", "strength: The authors creatively introduce the idea of regressing proposals to the intersec...	7.25
VfvxZLXYgd	[ "strength: The idea of effectively constraining or regularising the DG-targeted GIP by ERM seems novel and interesting, and the results appear to show that things improve (modulo weaknesses discussed below).", "strength: Moreover, the meta-learning setup seems to additionally allow for efficiencies in terms of ch...	4.5
fn36V5qsCw	[ "strength: This work introduces a novel metric for misspecification.", "strength: The work offers an interesting perspective on the relationship between IRL and Offline RL", "strength: The proposed algorithm shows empirical results that match some of the theoretical claims", "strength: The paper is theoretica...	6.75
YhT1ZemZow	[ "strength: Simple idea and analysis: the idea behind Sobolev training is clearly presented and easy to understand. The authors identify a simple and straightforward theoretical explanation for empirical observations that Sobolev training improves convergence speed.", "strength: Clear and correct proofs: the proof...	4.5
0iscEAo2xB	[ "strength: The comparison of these two targeting strategies is an important problem. I'm glad to see that the authors study this question. Despite its significance, there hasn't been much reliable insight so far. I'd love to see more work in this direction! I'm weighing this strongly in my evaluation.", "strength...	6.75
6ofUPFtqPF	[ "strength: Framing the development of an image classification problem into a LLM agent framework is an interesting idea and the choice of agents/components needed for an automated end-to-end framework seems reasonable and well thought through. In my opinion, the main strength of this approach is that it can take da...	3
O4LoPhRSfb	[ "strength: This paper has a clear motivation.", "strength: The proposed method is significant for domain-specific models.", "strength: The authors carefully design a LLM-based text augumentation methods for video-language tasks. The language alignment following the augumentation is convicing.", "strength: The...	5.166667
52UtL8uA35	[ "strength: Originality. The DLGN is an interesting architecture that combines deep linear networks with the gating mechanism to construct a novel class of non-linear models. One could also treat DLGN as a novel decision tree parametrization which, when relaxed using a sigmoid, can be learned by back-propagation. To...	6.75
IqGVIU4rvM	[ "strength: The paper writing is simple and easy to follow overall.", "strength: The paper attempts to study an interesting topic of mapping images to much fewer tokens (not bounded to patches by using Q-former) with the inspiration of being used for downstream vision-language tasks.", "strength: The discussion ...	2.5
WQYHbr36Fo	[ "strength: This paper is well written and easy to follow.", "strength: The proposed method is simple and can be directly combined with existing dense self-supervised learning without introducing additional loss types.", "strength: The proposed method, RCC and decoupling branch, are demonstrated to be effective ...	6.666667
oa758mIOcP	[ "strength: The paper is well-written and well-motivated. The literature review is sufficient and mostly achieves to put the method into perspective (See my remarks in the Questions section)", "strength: The authors address an interesting gap in the literature: the formulation of FNOs on arbitrary grids. To the be...	7
fKrFTGnoXY	[ "strength: The paper shows an interesting observation, that stable diffusion models, like foundational LLMs are good at in-context learning, with subtle design choices and engineering.", "strength: It showed better in-context learning compared to ImProv and VisualPrompting, although in fairness, they were using ...	5.333333
WVVu6B8knx	[ "strength: SBN effectively addresses limitations of traditional BN in handling heterogeneous data, offering a solution applicable across domains with varied data distributions.", "strength: Experiments illustrate substantial performance gains, with SBN consistently outperforming other normalization methods on cla...	3
K3tHTPjFBM	[ "strength: The formulation is clearly motivated and could benefit a wide range of biochemistry problems", "strength: The idea is easy to understand and the paper is well written", "strength: Protein representations seems to benefit from the proposed multitask learning paradigm", "strength: The benchmark datas...	4
saFH7zTtQs	[ "strength: The results are reasonably well written up.", "strength: Good numerical performance (Table 2).", "strength: Enough details on the proposed algorithm.", "strength: Originality: The problem formulation and subsequent elaborations and conclusions appear novel.", "strength: Quality: The proposed ...	5.166667
BZkKMQ25Z7	[ "strength: Innovative Use of Large Pretraining Datasets: The paper presents a promising and innovative approach by leveraging large pretraining datasets to enhance performance on smaller downstream tasks. This strategy is particularly interesting as it can potentially unlock new capabilities in machine learning mod...	4
jFiFmHrIfD	[ "strength: The authors propose a novel active learning-based labeling method which combines a Nearest Neighbour search module, A Random Sampler and a classification head, achieves orders of magnitude superior performance.", "strength: The authors provide empirical evidence of the effectiveness of ELSA in computer...	3.666667
adSdHgWGBB	[ "strength: Novel Approach: Introduces a novel generate-then-test approach for black-box testing of WebAssembly (Wasm) binaries, leveraging the power of large language models (LLMs).", "strength: Effective Coverage: Demonstrates high test coverage for simple, single-program benchmarks.", "strength: Ease of Under...	3
QfGc9txfGO	[ "strength: The paper is well-written and easy to follow.", "strength: The proposed method is simple and achieves a performance gain on several OOD CIL benchmarks.", "strength: Exploring the prompt-based CIL at OOD CIL scenarios is interesting", "strength: The method proposed by the authors demonstrates signif...	4
ljAS7cPAU0	[ "strength: This paper is well-written, with the authors presenting the algorithm process and their perspectives clearly and comprehensively.", "strength: Figures 1 and 2 effectively illustrate the authors' viewpoints in a clear and intuitive way.", "strength: The proposed method demonstrates efficiency and achi...	5.666667
xUO1HXz4an	[ "strength: Well-written and technically sound paper The paper is well-structured and its concepts and contributions are clearly presented.", "strength: Quality illustrations", "strength: Extensive experiments The paper conducts extensive experiments, including OOD detection, hard OOD detection, and robustness t...	7.5
1qzUPE5QDZ	[ "strength: This work is the first shift explanation method that identifies group irregularities as a problem that negatively affects the distribution shift explanation ability of the existing approaches, both theoretically and empirically.", "strength: To rectify the group irregularity issues in existing shift ex...	5.25
a4sknPttwV	[ "strength: the exploration of data quality issues is an interesting and important problem. If LLMs are able to automate the detection of data quality issues, they will be helpful for automatic maintenance of data publishing platform.", "strength: The dataset collection process seems reasonable. Four different typ...	5.5
U3PBITXNG6	[ "strength: This is an important and timely contribution. It has the potential to improve generalisation and standardisation across solutions addressing inverse problems in science.", "strength: The proposed INVERSEBECH fills a gap in testing diffusion models beyond natural image tasks by evaluating them to scient...	7.5
OI3RoHoWAN	[ "strength: Interesting idea. The proposed idea is very interesting and novel.", "strength: Well-written. The paper is very well-written and easy to follow. The figures very much aid in understanding the paper.", "strength: Experimental Evaluation. The experiments reveal that the proposed methodology outperforms...	8
h5xc46rWcZ	[ "strength: The paper introduces the novel concept of \"lost-in-distance,\" highlighting a previously unexamined limitation of LLMs in handling graph-structured information when relevant context is distributed over greater distances.", "strength: By identifying the limitations of LLMs in processing complex, disper...	3
vRvVVb0NAz	[ "strength: The paper is very well-written and easy to follow.", "strength: It provides a guideline for when and why task arithmetic works in multi-task learning, machine unlearning, and generalization to new tasks.", "strength: The discussion of low-rank approximations and magnitude-based pruning of task vector...	7.5
NWvsm2VxAM	[ "strength: Triplet Identity Training Objective: This is the central contribution. The authors introduce a novel triplet loss that considers both positive (images of the target identity) and negative (images of other identities) examples during training. The approach attempts to avoid overfitting to the training dat...	3
gB2ZeqDpl6	[ "strength: The technical depth demonstrated throughout the work is exemplary.", "strength: The authors present a thorough examination of structural encoding strategies, carefully distinguishing between explicit and implicit approaches.", "strength: Their meticulous investigation of feature engineering methodolo...	4
hzQcilRe2v	[ "strength: open sourced: the proposed method is open sourced and is built on top of megatron. The instructions are clear and easy to follow", "strength: covers critical details: it explained how to overcome the fact that each gpu can only have 1 NCCL communicator. These are practical challenges we need to resolve...	5.25
Di3VLZHZdj	[ "strength: Studies an interesting real-world problem with application to a new area of engineering", "strength: Provides citations to relevant literature in machine learning for fatigue modeling", "strength: Finite element simulation datasets are created, which allow the assessment of operator neural networks i...	4
xFvHcgj1fO	[ "strength: Online anomaly detection is critical for the massive amounts of data, streams, and edge devices.", "strength: Good coverage of methods in online learning broadly", "strength: Results support the overall claim", "strength: This paper introduces a lightweight plugin that effectively transforms a basi...	3
9jmUwjZi7j	[ "strength: The concept of integrating diffusion models with RL is interesting.", "strength: The paper compares the method against five baselines.", "strength: The paper claims that the method outperforms baselines on most of the considered tasks.", "strength: The idea of incorporating the diffusion process in...	4
E4hK8t7Fts	[ "strength: Using reranking+ majority voting to choose solution and compare different re-ranking algorithm, different model size.", "strength: This work propose the multi-tasks tuning in a sequential manner while a new training object.", "strength: Experiments (Table 3) show consistent improvement by __RR.Top-8_...	3
Kc3yoIL5oR	[ "strength: This paper introduces a novel CO-prefix design that not only significantly reduces token lengths but also efficiently separates static and dynamic features, improving both the efficiency and scalability of the training process.", "strength: The unified model proposed in this paper demonstrates the capa...	5.25
0e26yMOCbd	[ "strength: Well-structured presentation progressing from problem motivation to theoretical analysis to practical solution.", "strength: Comprehensive empirical validation across multiple datasets.", "strength: The paper is well motivated and studies an important problem from an interesting perspective", "stre...	3.4
Pmrc0nEvxf	[ "strength: Attacking graph under GNNs is promising", "strength: The paper discusses real-world scenarios where dynamic graphs are prevalent, which highlights the relevance and importance of the proposed framework.", "strength: The authors identify the limitations of existing adversarial attacks on TGNNs and exp...	5.666667
r6aX67YhD9	[ "strength: This paper proposes to fine-tune the LLMs to embed watermarks.", "strength: The proposed method is robust against different attacks.", "strength: The idea that combines the watermark embedding process with the alignment process is interesting.", "strength: Successfully proposes and implements a wat...	4.75
9EiWIyJMNi	[ "strength: The proposed model has outsanding emprical performance.", "strength: The writing is clear and effectively outlines three challenges while presenting corresponding strategies for their resolution.", "strength: The authors enhance Mamba's performance on time series tasks by incorporating RBF, Fourier, ...	6
ttq44QjKda	[ "strength: The problem of uncertainty quantification in density ratio estimation is an important fundamental question.", "strength: This work contributes a new understanding of its theoretical limits by deriving L_p error bounds of the density ratio.", "strength: The nearly matching upper and lower bounds are ...	6
TroV1cbgoG	[ "strength: The paper provides reasonably well written theory and experiments to support a commonly used intuitive heuristic of early stopping and outlier identification.", "strength: The paper is organised well and is mostly easy to follow.", "strength: Non-trivial amounts of label noise in training data is a c...	5.333333
uMLeOlzlZ2	[ "strength: The introduced LLM is very likely of great interest for the materials science community, in particular because it is ready to be used and it is fine tuned on one of the largest and most consistent corpus of materials-science data, especially computational (atomistic-simulation) data.", "strength: Resul...	5
MBIGXMT0qC	[ "strength: The idea seems interesting. By unzipping atoms in some residues, the protein-specific ESM model becomes a model at both residue and atom scales.", "strength: The paper is clearly written.", "strength: The multiscale modeling technique is novel.", "strength: the proposed idea makes sense intuitively...	5
AoraWUmpLU	[ "strength: precise, rigorously demonstrated theoretical results", "strength: clear presentation", "strength: extension of fundamental NTK results to neural ODEs, using classical ODE analytical tools (Picard theorem, Groenwald theorem etc).", "strength: Theoretical Analysis: The paper offers a rigorous mathema...	8
biNhA3jbHc	[ "strength: The paper is clearly presented, and the work is original to my knowledge.", "strength: The paper provides a relatively simple extension to Hopfield networks and corresponding learning rules to store and retrieve sequences that works well, which is novel to my knowledge.", "strength: The problem of be...	5.25
SXvb8PS4Ud	[ "strength: The paper’s parallel drafter introduces a novel alternative to sequential SD models, advancing speculative decoding with efficient multi-token generation.", "strength: Empirical evaluations across multiple benchmarks and models, along with sound theoretical justifications, confirm the validity of the a...	5.8
25kAzqzTrz	[ "strength: This paper provides a new theoretical analysis of the FixMatch method, particularly on multi-view structured data distributions, demonstrating its effectiveness in learning features and its advantages over supervised learning. The characterization of FixMatch's two-stage learning process is insightful, o...	8
RKQcJ1lXNT	[ "strength: The proposed adaptive attack reveals the potential vulnerability when attackers are stronger, potentially facilitating the community in building more robust watermarks.", "strength: It experiments with diverse settings.", "strength: The paper is written in a clear and well-structured manner that make...	5.5
Ixi4j6LtdX	[ "strength: Using a curriculum model to learn a set of tasks for the student is interesting.", "strength: Comparison with different methods are reported.", "strength: The meta-learning-based knowledge distillation task is interesting and still under-explored.", "strength: The experiments are extensive.", "st...	6.75
vL9t9tpKli	[ "strength: There are many innovations in this work, but I think the best part is the introduction of the 3d awareness into the 2D representation training. In this part, especially the correspondence aware autoencoding is the key to the success of this overall idea.", "strength: The author is committed to integrat...	5.75
bRa4JLPzii	[ "strength: The paper is clear, well-written and presented.", "strength: The authors cover most of the commonly used datasets in the field, and some relevant baselines: the empirical constributions appear sound as a result.", "strength: Results indicate the method does indeed provide some life over the baselines...	6.25
3X6QlkWfHH	[ "strength: The model follows Clinical Intuition The authors the main clinical takeaway that opioid responsiveness is associated with better overall outcomes, and demonstrate this is the case with several pain and risk outcomes. Additionally, the model successfully learns known relative potencies between different o...	4
Xo0Q1N7CGk	[ "strength: This is of interest to the community. It studies how grid cells encode spatial navigation and how these representations arise in the brain.", "strength: The paper is written well, and concepts are clearly explained.", "strength: I enjoyed reading the paper, and the math is thorough.", "strength: Th...	8
ewjN1MAnJi	[ "strength: The WPDDFormer model consistently outperforms other state-of-the-art methods across multiple tasks on the JARVIS and Materials Project datasets, demonstrating its effectiveness.", "strength: The authors provide theoretical guarantees on the continuity and completeness of the WPDD-based graphs, ensuring...	5
OlzB6LnXcS	[ "strength: The paper is well written and easy to follow", "strength: The proposed idea is novel and promising, this work pioneers a new family of diffusion/flow based generative models.", "strength: The method is experimentally evaluated in a controlled setting, an extensive comparison with alternative methods ...	8
Y5LjYI4N6P	[ "strength: The paper is well written", "strength: The approach is well motivated by the literature on stochastic depth", "strength: The obtained results on a small set of benchmarks indicate either competitive or superior performance than the control (i.e., full model training) and directly translate to savings...	6.75
MqL2e85ZTp	[ "strength: Authors propose an interesting idea of combining an existing sample efficient method: Bayesian Optimization (BO) for LLM generation.", "strength: BO is usually applied in continuous domain which use Gaussian priors. The authors extend BO and its acquisition function for LLM use-case. Search in LLM is a...	6.4
XToAemis1h	[ "strength: The idea of aligned multi-sensor dataset, improve generalization across different sensors.", "strength: Capturing both static and dynamic tactile features. This is novel to make the system have comprehensive tactile information understanding.", "strength: The dataset labeling process involves languag...	7
k0nlUXYKhX	[ "strength: The topic is interesting, the use of real-world dataset for experiments is promising. This reviewer appreciates the utilisation of simpler ML models like XGBoost for experimental purposes.", "strength: The comparison with several metaheusristics on a particular data set.", "strength: The details of t...	2.5
7gVX2LxE7A	[ "strength: The proposed framework is quite general and could be incorporated into several frameworks (CNNs, RNNs, or Transformers)", "strength: SpecAR-Net is competitive relative to baselines on several benchmark tasks", "strength: Time-frequency modeling of time series data enables the capturing of time-depend...	3.666667
QdiMWcwU5w	[ "strength: The topic addressed is both important and timely", "strength: The solution proposed is intuitive, and makes sense", "strength: The specific implementation seemingly differs from some prior work on this same task", "strength: The main idea is easy to follow.", "strength: The synthetic data is good...	5
EP6n8LCEK6	[ "strength: It uncovers and addresses confirmation bias in D2C frameworks, providing practical solutions to mitigate performance issues and social biases.", "strength: The study examines bothprejudice and fidelity, offering a detailed understanding of D2C frameworks across multiple levels.", "strength: By ...	5.5
mPOVOwsDOO	[ "strength: I haven't kept up with recent developments in KD, both problem setting and the proposed algorithm appear to be novel given the context provided in the paper.", "strength: Distillation across different tasks or distributions is challenging problem, yet the proposed model performs well in both vision and...	5.5
7ftRWFUVLu	[ "strength: The proposed method achieves consistent improvements in diverse FSFGIC datasets.", "strength: The ablation results verify the effectiveness of the proposed module.", "strength: Extensive experiments on five benchmark datasets demonstrate that LT-FMRF outperforms several existing few-shot learning met...	4.2
5dDYhvt6dY	[ "strength: To the best of my knowledge, there is no research paper formally discussing the comparison between concatenating vs. adding positional embedding to the token embedding. Although there is interest and several informal discussions among the community about it (e.g.: https://www.reddit.com/r/MachineLearning...	3
NlEt8LYAxC	[ "strength: Research on FAT under $L_0$ norm constraints is relatively limited, and the authors address this gap by proposing an innovative method to mitigate performance degradation and catastrophic overfitting in FAT.", "strength: The authors provide detailed theoretical insights into the connection between the ...	6
AEglX9CHFN	[ "strength: A new dual-adapter approach, applied to different pre-trained HGNN models, has been developed to enrich the current graph prompt tuning methods.", "strength: Two self-supervised graph learning loss functions have been designed to realize label augmentation, showing a clear improvement in the ablation s...	6.5
KSLkFYHlYg	[ "strength: The paper is comprehensive and well-written, with excellent figures and molecular visualizations.", "strength: Although conditioning on pharmacophoric features is not new in the field, this is the most thoughtful implementation of the approach to date and a very important direction more works should lo...	8
1KLBvrYz3V	[ "strength: The proposed interdisciplinary dataset focus on historical contextualization and represent a valuable contribution to the field, addressing a crucial gap in existing evaluation methodologies.", "strength: The work should be well reproducible with the released dataset, search terms, and evaluation detai...	7.5
R5FzCFR5yU	[ "strength: It's really good that the authors attempt to find another way of doing differentiation in PINN. As stated in the manuscript, most works in this area focus on the network architecture or the loss function, but few focus on improving the pipeline defined by PINN or Neural Operator. Sometimes, it's really i...	3.333333
WNLAkjUm19	[ "strength: The main problem, \"What is the role of tokenization in MIM? How does it affect downstream performance?\", is interesting and necessary.", "strength: The proposed token-class alignment similarity (TCAS) is a cheap but effective metric to measure the performance of tokenization roles.", "strength: Thi...	7
4xWQS2z77v	[ "strength: The paper is well-written, easy to follow, and its results are clear and novel.", "strength: The theoretical results stand out for their depth and clarity, as do the empirical results.", "strength: The support of images is quite helpful when reading through some mathematical arguments or proofs of th...	8
lBlHIQ1psv	[ "strength: ADOPD-Instruct is quite useful in downstream tasks requiring document-level image editing. It stands out for its scale and the level of detail in its annotations. The inclusion of both text and non-text elements, along with segmentation masks and human-curated instructions, makes it a rich resource for r...	4.5
ijwYWoChN9	[ "strength: By framing domain adaptation as knowledge distribution alignment, DST minimizes computational overhead and sidesteps catastrophic forgetting. This is particularly beneficial for limited-resource settings, allowing PLMs to adapt to new domains effectively with minimal data.", "strength: The experimental...	3
bnINPG5A32	[ "strength: The paper presents theoretical underpinnings from optimal control. It uses those ideas to solve the training-free stylization problems similar to Deep Image Prior, which is somehow not cited in the paper.", "strength: The work has several merits, especially in the problem of prompt-based image stylizat...	8
FCBbh0HCrF	[ "strength: The paper makes an insightful observation about asynchronous data reception in VFL - a practical issue that has been surprisingly overlooked in previous research but significantly impacts real-world applications.", "strength: The integration of Dynamic Local Regret into VFL shows technical sophisticati...	7
q3EbOXb4y1	[ "strength: Retri3D introduces a novel approach to 3D retrieval by using a two-pronged methodology: noise analysis via Neural Graphics Noise Analysis and selective viewpoint rendering through the Smart Camera Movement Module. These elements enable the retrieval of high-quality embeddings from rendered images given t...	7.5

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