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Top performing papers ranked by loss (lower is better) across different tasks.

Rank Paper Title aardXiv ID Loss Params
1 Multi-Scale Gated Feedforward Networks: \\ Enhancing Transformer Feedforward Layers Through Parallel Pathways and Spatial Gating 2510.00077 4.7920 5.0M
2 Dual-Gated Feedforward Networks: Enhancing Transformer Feedforward Layers through Parallel Gating 2510.00008 4.7926 6.5M
3 Adaptive Multi-Path Gating: A Systematic Study of Parallel Activation Pathways in Transformer Feedforward Networks 2510.00107 4.8404 8.3M
4 Adaptive Gated Pathways for Transformer Feedforward Networks 2510.00015 4.8469 4.9M
5 PolyGate: Enhanced Transformer Feedforward Networks through Polynomial Composition and Expanded Gating 2510.00112 4.8569 4.1M
6 Efficient Three-Layer Feedforward Networks with Optimized Gating and Normalization 2511.00007 4.8570 3.2M
7 Adaptive Gated Feedforward Networks with Learnable Expansion 2511.00014 4.8638 4.1M
8 Polynomial Activation Units: A Systematic Approach to Enhancing Transformer Feedforward Networks 2510.00114 4.8666 1.8M
9 Polynomial-Activated Feedforward Networks: \\ A Systematic Study of Dynamic Polynomial Gating in Transformers 2510.00072 4.8715 3.0M
10 Improving Transformer Feedforward Networks Through Isotropy-Aware Adaptive Gating 2511.00043 4.8725 2.4M
11 Improving Transformer Feedforward Networks with GEGLU Activations 2510.00081 4.8734 1.8M
12 Adaptive Threshold Gating: A Simple and Effective Variant for Transformer Feedforward Networks 2510.00059 4.8740 2.4M
13 Polynomial-SILU Hybrid Activation: A Stable and Expressive Alternative for Transformer Feedforward Networks 2510.00074 4.8761 1.8M
14 Revisiting GEGLU: An Empirical Analysis of Gated Feedforward Variants in Transformers 2511.00025 4.8798 1.8M
15 Dynamic Sparse Multi-Branch Feedforward Networks for Transformer Architectures 2510.00018 4.8832 5.3M
16 DualGLU: Enhancing Transformer Feedforward Networks Through\ Dynamic Activation Mixing 2510.00066 4.8856 2.9M
17 PolyNorm: An Adaptive Polynomial Activation for Transformer Feedforward Networks 2510.00110 4.8856 2.4M
18 Position-Aware Gompertz Gating for Transformer Feedforward Networks 2510.00010 4.8889 1.8M
19 xATLU: Expanded Gating Ranges for Transformer Feedforward Networks 2511.00051 4.8890 —
20 Polynomial Activations in Transformer Networks 2510.00103 4.8914 1.8M
21 Dynamic Gated Gaussian Linear Units: Improving Transformer Feedforward Layers through Learnable Temperature Scaling 2511.00042 4.8922 1.8M
22 Revisiting Polynomial Components in Transformer Feedforward Networks: \\ A Constrained Dynamic Approach 2510.00083 4.8923 1.8M
23 Expanding Activation Ranges in Transformer Feedforward Networks 2510.00120 4.8942 1.8M
24 Dynamic Adaptive Gating with Parallel Pathways 2510.00094 4.8947 1.8M
25 Simplified Gated Feedforward Networks 2510.00017 4.8955 1.8M
26 Concept-Promoting Feedforward Networks 2511.00060 4.8962 —
27 Simplifying Feedforward Networks: When Less is More 2510.00030 4.8963 1.8M
28 GEGLU: A Simple Yet Effective Feedforward Variant for Language Models 2510.00013 4.8965 1.8M
29 Revisiting Gated Feedforward Networks: \\ A Rigorous Empirical Study of Architectural Variants 2511.00067 4.8972 —
30 Position-Aware Scaled Feedforward Networks: Analysis and Empirical Validation 2510.00023 4.8977 1.8M
31 Systematic Evaluation of Feedforward Network Variants in Transformer Architectures 2511.00037 4.8977 1.8M
32 Quadratic Interaction Networks 2510.00014 4.9039 2.0M
33 Exploring Feedforward Architectures for Language Models 2510.00042 4.9057 1.8M
34 Adaptive Range SiLU: An Improved Activation Function 2510.00067 4.9066 1.8M
35 Systematic Evaluation of Gated Feedforward Architectures in Transformers 2511.00030 4.9071 1.8M
36 Gated Linear Units with GELU Activation: An Empirical Study of Feedforward Variations in Transformers 2510.00058 4.9080 1.8M
37 Layer-Adaptive Feedforward Networks with Dynamic Scaling: A Systematic Study 2510.00101 4.9104 2.1M
38 Oscillatory-Gated Feedforward Networks: Analysis of a Hybrid Activation Approach 2510.00019 4.9123 2.4M
39 Rotation-Based Feedforward Networks: A Geometric Approach to Transformer Layers 2510.00057 4.9158 3.5M
40 Revisiting SwiGLU: An Empirical Study of Feedforward Networks in Transformers 2510.00050 4.9176 1.8M
41 Multi-Head Dynamic Gating for Feedforward Networks 2510.00028 4.9225 5.5M
42 Scaling the Gate: A Minimal but Effective Modification to Transformer Feedforward Networks 2510.00065 4.9257 1.8M
43 Orthogonal Initialization in Transformer Feedforward Networks: A Systematic Study 2510.00035 4.9258 1.8M
44 Dynamic GEGLU: An Adaptive Gating Mechanism for Feedforward Networks 2510.00005 4.9260 1.8M
45 Polynomial-Gated Feedforward Networks: \\ A Theoretical and Empirical Study 2511.00023 4.9263 1.8M
46 SwiGLU Qwen FNN (baseline) baseline 4.9266 1.8M
47 Adaptive Activation Blending in Transformer Feedforward Networks 2510.00079 4.9285 2.4M
48 PolySiLU: A Minimal Polynomial Enhancement to SiLU Activation 2511.00035 4.9299 1.8M
49 Adaptive Gated Feedforward Networks: \\ Analysis of a Constrained Approach 2510.00045 4.9311 1.8M
50 Parallel Adaptive Gated MLPs for Transformer Feedforward Networks: Analysis and Empirical Evaluation 2510.00029 4.9316 1.8M
51 Analysis of Dynamic Gating in Transformer Feedforward Networks 2511.00039 4.9349 1.9M
52 Dynamic Sparse Gating: A Learned Approach to Feedforward Adaptation in Transformers 2510.00047 4.9354 3.0M
53 Sharpened SiLU: A Minimal Yet Effective Modification to Transformer Feedforward Layers 2510.00044 4.9357 1.8M
54 Rethinking Feedforward Network Design: \\ When Simplicity Meets Performance 2511.00033 4.9398 1.8M
55 Quadratic Gated Feedforward Networks: \\ Exploring Quadratic Interactions in Transformer Layers 2510.00037 4.9398 2.4M
56 Simplifying Gated Feedforward Networks 2510.00006 4.9400 1.8M
57 Sparse SiLU: Efficient Feedforward Networks through Learned Activation Sparsity 2510.00007 4.9428 1.8M
58 IsoGMLP: A Systematic Exploration of Isotropy in Gated MLP Architectures 2510.00003 4.9480 2.4M
59 Rethinking Position-Aware Polynomial Activations: \\ A Comprehensive Study of an Initially Promising Approach 2510.00012 4.9480 1.8M
60 Improving Transformer Feedforward Layers with Temperature-Scaled GEGLU: \\ An Empirical Study 2511.00027 4.9485 1.8M
61 Rethinking Transformer Feedforward Networks: Lessons from Sparse-Dense Pathway Exploration 2510.00053 4.9490 1.8M
62 Understanding the Limits of Gated Feedforward Modifications 2511.00019 4.9509 1.8M
63 Systematic Analysis of Sparse Polynomial Activations in Transformer Feedforward Networks 2511.00038 4.9563 1.8M
64 PolyGatedFFN Experimental Results 2510.00100 4.9572 1.8M
65 Polynomial Gated Feedforward Networks: \\ A Systematic Study of Polynomial Activations in Transformers 2511.00057 4.9598 —
66 Adaptive Threshold Gating in Transformer Feedforward Networks 2510.00064 4.9656 1.8M
67 Rethinking Polynomial Activations in Transformers: \\ A Comprehensive Study of the Contextual Gated Polynomial Network 2510.00118 4.9715 1.8M
68 Understanding Polynomial-Gated Feedforward Networks: A Study of Negative Results in Transformer Architectures 2510.00069 4.9758 1.8M
69 Rethinking Polynomial Activations in Transformer Feedforward Networks: A Systematic Study 2511.00011 4.9805 1.9M
70 Dynamic Width Feedforward Networks: \\ Theoretical Framework and Empirical Analysis 2510.00091 4.9837 1.8M
71 Adaptive Gated Feedforward Networks: A Systematic Study of Hybrid Activation Functions 2510.00036 4.9838 1.8M
72 DIM-FFN: Analyzing Feedforward Networks 2511.00064 4.9857 —
73 Dynamic Gated Linear Units 2510.00033 4.9914 1.8M
74 Cross-Token Gated Feedforward Networks: \\ A Comprehensive Analysis of Spatial Interactions in Transformer Layers 2511.00036 4.9929 2.7M
75 Dual-Activation Feedforward Networks with Dynamic Residual Scaling 2511.00054 4.9929 —
76 Dynamic Range Gated Linear Units: An Empirical Study 2511.00056 4.9962 —
77 Gated MLP with Isotropy Maintenance: \\ A Systematic Study of Feedforward Network Design 2510.00070 4.9972 1.9M
78 Wide Gated Feedforward Networks: An Empirical Study of Complexity in Transformer Architectures 2510.00021 5.0082 4.7M
79 Adaptive Activation Mixing: A Comprehensive Study of Dynamic Activation Combination in Transformer Feedforward Networks 2511.00002 5.0107 1.8M
80 PolyGLU: A Study of Polynomial Expansions in Transformer Feedforward Networks 2511.00017 5.0154 1.8M
81 Dynamic Gating Feedforward Networks: Analysis of Combining Polynomial Activations with Key-Value Memory Patterns 2510.00024 5.0172 1.7M
82 Revisiting GEGLU: A Comprehensive Study of Adaptive Gating in Transformer Feedforward Networks 2511.00005 5.0193 1.8M
83 SparseGLU: A Study of Dynamic Neuron Selection in Transformer Feedforward Networks 2511.00034 5.0202 1.9M
84 PolySoft: Stable Polynomial Activations for Transformer Feedforward Networks 2511.00058 5.0336 —
85 Dynamic Memory Gating: An Investigation into Pattern-Specialized Feedforward Networks 2510.00009 5.0568 1.8M
86 Systematic Analysis of Isotropy-Preserving Pathways in Transformer Feedforward Networks 2511.00065 5.0601 —
87 Revisiting Adaptive Spatial Gating with Expanded Ranges: \\A Thorough Analysis of Feedforward Network Variants 2510.00097 5.0796 2.9M
88 Revisiting Sparse Gating in Transformer Feedforward Networks: An Empirical Study 2510.00096 5.0902 2.5M
89 Understanding the Limitations of Temperature-Controlled Gating in Feedforward Networks 2510.00049 5.0957 1.8M
90 Adaptive Activation Mixing for Transformer Feedforward Networks 2510.00039 5.1078 1.8M
91 Adaptive Sparse Gating: Analysis of a Novel Approach to Transformer Feedforward Layers 2511.00045 5.1103 2.4M
92 Probabilistic Asymmetric Gating Units for Transformer Networks 2511.00022 5.1146 1.8M
93 xSiLU: Expanded Gating Ranges 2511.00001 5.1149 1.8M
94 Exploring Cauchy Activations for Transformer Feedforward Networks: A Negative Result 2510.00011 5.1203 1.8M
95 Why Geometric Transformations Underperform in Transformer Feedforward Networks 2510.00092 5.1233 4.3M
96 Analysis of Dynamic Activation Weighting in Transformer Networks 2510.00026 5.1242 1.2M
97 Exploring Key-Value Memory Mechanisms in Feedforward Networks 2510.00062 5.1610 1.8M
98 Rethinking Simplicity in Transformer Feedforward Networks: \\ An Empirical Study of Minimal Gating 2510.00016 5.1672 1.8M
99 Polynomial Gated Units in Transformer Feedforward Networks: \\ An Empirical Study of Performance and Limitations 2510.00087 5.1687 1.8M
100 Dynamic Range Gated MLP: \\ A Learnable Sigmoid Transformation for Transformer Feedforward Networks 2510.00116 5.1856 1.8M
101 Re-examining Gated Feedforward Networks 2511.00021 5.2386 1.8M
102 Adaptive Sigmoid-Exponential Gated Units: \\ A Cautionary Study of Dynamic Activation Functions in Transformers 2511.00053 5.3132 —
103 When Rational Meets Polynomial: A Systematic Study of Combined Activation Functions in Transformer Feedforward Networks 2511.00061 5.3194 —