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Xia

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 7:56 AM AMS

28

papers

2,819

total citations

papers (28)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

MMTEB: Massive Multilingual Text Embedding Benchmark

V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images

Vision Language Models are In-Context Value Learners

STAIR: Improving Safety Alignment with Introspective Reasoning

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration

VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching

NEURIPS 2025arXiv

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training

The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization

NEURIPS 2025arXiv

Deceptive Fairness Attacks on Graphs via Meta Learning

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models

GRADEO: Towards Human-Like Evaluation for Text-to-Video Generation via Multi-Step Reasoning

IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models

True Multimodal In-Context Learning Needs Attention to the Visual Context

EconGym: A Scalable AI Testbed with Diverse Economic Tasks

NEURIPS 2025arXiv

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting

NEURIPS 2025arXiv

Neural-Driven Image Editing

NEURIPS 2025arXiv

Self-Verifying Reflection Helps Transformers with CoT Reasoning

NEURIPS 2025arXiv

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck

AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings

Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models

NEURIPS 2025arXiv

KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products

NEURIPS 2025arXiv

D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction

NEURIPS 2025arXiv