arxiv_id
string
pwc_url
string
status
int64
found
bool
pwc_id
string
title
string
url_abs
string
repositories
list
project_pages
list
hf_models
list
hf_datasets
list
hf_spaces
list
2505.15195
https://paperswithcode.co/api/v1/papers/arxiv/2505.15195?include_resources=true
200
true
87322
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
https://arxiv.org/abs/2505.15195
[]
[]
[]
[]
[]
2501.19164
https://paperswithcode.co/api/v1/papers/arxiv/2501.19164?include_resources=true
200
true
43463
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
https://arxiv.org/abs/2501.19164
[]
[ { "url": "https://kejiazhang-robust.github.io/poison-cure-lvm", "is_official": true } ]
[]
[]
[]
2505.19986
https://paperswithcode.co/api/v1/papers/arxiv/2505.19986?include_resources=true
200
true
85721
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
https://arxiv.org/abs/2505.19986
[]
[]
[]
[]
[]
2507.03683
https://paperswithcode.co/api/v1/papers/arxiv/2507.03683?include_resources=true
200
true
51682
On the rankability of visual embeddings
https://arxiv.org/abs/2507.03683
[ { "url": "https://github.com/aktsonthalia/rankable-vision-embeddings", "owner": "aktsonthalia", "name": "rankable-vision-embeddings", "stars": 20, "is_official": true, "source": "ai_extraction" } ]
[]
[]
[]
[]
2410.02675
https://paperswithcode.co/api/v1/papers/arxiv/2410.02675?include_resources=true
200
true
37784
FAN: Fourier Analysis Networks
https://arxiv.org/abs/2410.02675v3
[ { "url": "https://github.com/yihongdong/fan", "owner": "yihongdong", "name": "fan", "stars": 252, "is_official": true, "source": "links_json" }, { "url": "https://github.com/jlamprou/Fourier-Analysis-Networks-FAN", "owner": "jlamprou", "name": "Fourier-Analysis-Networks-FAN",...
[]
[]
[]
[]
2503.16527
https://paperswithcode.co/api/v1/papers/arxiv/2503.16527?include_resources=true
404
false
null
null
null
null
null
null
null
null
2509.17589
https://paperswithcode.co/api/v1/papers/arxiv/2509.17589?include_resources=true
200
true
68022
Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models
https://arxiv.org/abs/2509.17589
[]
[]
[]
[]
[]
2511.23239
https://paperswithcode.co/api/v1/papers/arxiv/2511.23239?include_resources=true
404
false
null
null
null
null
null
null
null
null
2505.13112
https://paperswithcode.co/api/v1/papers/arxiv/2505.13112?include_resources=true
200
true
86138
Attention-based clustering
https://arxiv.org/abs/2505.13112
[]
[]
[]
[]
[]
2506.04723
https://paperswithcode.co/api/v1/papers/arxiv/2506.04723?include_resources=true
200
true
50606
Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
https://arxiv.org/abs/2506.04723
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[ { "url": "https://sparkle-reasoning.github.io/", "is_official": true } ]
[]
[]
[]
2510.04714
https://paperswithcode.co/api/v1/papers/arxiv/2510.04714?include_resources=true
404
false
null
null
null
null
null
null
null
null
2501.06246
https://paperswithcode.co/api/v1/papers/arxiv/2501.06246?include_resources=true
200
true
87054
A Partition Cover Approach to Tokenization
https://arxiv.org/abs/2501.06246
[]
[]
[]
[]
[]
2506.12704
https://paperswithcode.co/api/v1/papers/arxiv/2506.12704?include_resources=true
200
true
71978
Flexible Realignment of Language Models
https://arxiv.org/abs/2506.12704
[]
[]
[]
[]
[]
2511.19390
https://paperswithcode.co/api/v1/papers/arxiv/2511.19390?include_resources=true
404
false
null
null
null
null
null
null
null
null
2509.20461
https://paperswithcode.co/api/v1/papers/arxiv/2509.20461?include_resources=true
200
true
86549
Document Summarization with Conformal Importance Guarantees
https://arxiv.org/abs/2509.20461
[ { "url": "https://github.com/layer6ai-labs/conformal-importance-summarization", "owner": "layer6ai-labs", "name": "conformal-importance-summarization", "stars": 5, "is_official": true, "source": "neurips2025_import" } ]
[]
[]
[]
[]
2510.20342
https://paperswithcode.co/api/v1/papers/arxiv/2510.20342?include_resources=true
200
true
65986
Teaching Language Models to Reason with Tools
https://arxiv.org/abs/2510.20342
[]
[]
[]
[]
[]
2505.02867
https://paperswithcode.co/api/v1/papers/arxiv/2505.02867?include_resources=true
200
true
48421
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
https://arxiv.org/abs/2505.02867
[]
[]
[]
[]
[]
2502.01074
https://paperswithcode.co/api/v1/papers/arxiv/2502.01074?include_resources=true
200
true
43544
Omni-Mol: Exploring Universal Convergent Space for Omni-Molecular Tasks
https://arxiv.org/abs/2502.01074v2
[]
[]
[]
[]
[]
2510.06046
https://paperswithcode.co/api/v1/papers/arxiv/2510.06046?include_resources=true
200
true
86347
GLVD: Guided Learned Vertex Descent
https://arxiv.org/abs/2510.06046
[]
[]
[]
[]
[]
2502.13124
https://paperswithcode.co/api/v1/papers/arxiv/2502.13124?include_resources=true
200
true
44515
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
https://arxiv.org/abs/2502.13124
[]
[]
[]
[]
[]
2505.23599
https://paperswithcode.co/api/v1/papers/arxiv/2505.23599?include_resources=true
200
true
86134
On Transferring Transferability: Towards a Theory for Size Generalization
https://arxiv.org/abs/2505.23599
[]
[]
[]
[]
[]
2506.10036
https://paperswithcode.co/api/v1/papers/arxiv/2506.10036?include_resources=true
200
true
50976
Token Perturbation Guidance for Diffusion Models
https://arxiv.org/abs/2506.10036
[ { "url": "https://github.com/taatiteam/token-perturbation-guidance", "owner": "TaatiTeam", "name": "Token-Perturbation-Guidance", "stars": 16, "is_official": true, "source": "links_json" } ]
[]
[]
[]
[]
2511.00252
https://paperswithcode.co/api/v1/papers/arxiv/2511.00252?include_resources=true
404
false
null
null
null
null
null
null
null
null
2507.02974
https://paperswithcode.co/api/v1/papers/arxiv/2507.02974?include_resources=true
200
true
86639
InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
https://arxiv.org/abs/2507.02974
[]
[]
[]
[]
[]
2505.20641
https://paperswithcode.co/api/v1/papers/arxiv/2505.20641?include_resources=true
200
true
49890
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction
https://arxiv.org/abs/2505.20641v2
[ { "url": "https://github.com/yanzq95/liar", "owner": "yanzq95", "name": "liar", "stars": 22, "is_official": true, "source": "links_json" }, { "url": "https://github.com/yanzq95/liar}{here", "owner": "yanzq95", "name": "LIAR}{here", "stars": 0, "is_official": true, ...
[]
[]
[]
[]
2505.20772
https://paperswithcode.co/api/v1/papers/arxiv/2505.20772?include_resources=true
200
true
86499
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
https://arxiv.org/abs/2505.20772
[]
[]
[]
[]
[]
2504.05812
https://paperswithcode.co/api/v1/papers/arxiv/2504.05812?include_resources=true
200
true
47412
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization
https://arxiv.org/abs/2504.05812v3
[ { "url": "https://github.com/qingyangzhang/empo", "owner": "QingyangZhang", "name": "EMPO", "stars": 90, "is_official": true, "source": "links_json" } ]
[ { "url": "https://bluewhale.yataobian.com/blog/2025/EMPO-Fully-Unsupervised-LLM-Reasoning-Incentivization/", "is_official": true } ]
[]
[]
[]
2506.01946
https://paperswithcode.co/api/v1/papers/arxiv/2506.01946?include_resources=true
200
true
72370
MLLMs Need 3D-Aware Representation Supervision for Scene Understanding
https://arxiv.org/abs/2506.01946
[]
[ { "url": "https://visual-ai.github.io/3drs/", "is_official": true } ]
[]
[]
[]
2505.24623
https://paperswithcode.co/api/v1/papers/arxiv/2505.24623?include_resources=true
200
true
86760
Hyperbolic Dataset Distillation
https://arxiv.org/abs/2505.24623
[ { "url": "https://github.com/guang000/hdd", "owner": "guang000", "name": "hdd", "stars": 12, "is_official": true, "source": "neurips2025_import" } ]
[]
[]
[]
[]
2505.22657
https://paperswithcode.co/api/v1/papers/arxiv/2505.22657?include_resources=true
404
false
null
null
null
null
null
null
null
null
2402.06674
https://paperswithcode.co/api/v1/papers/arxiv/2402.06674?include_resources=true
200
true
86463
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
https://arxiv.org/abs/2402.06674
[]
[]
[]
[]
[]
2509.15472
https://paperswithcode.co/api/v1/papers/arxiv/2509.15472?include_resources=true
200
true
86567
Efficient Multimodal Dataset Distillation via Generative Models
https://arxiv.org/abs/2509.15472
[]
[]
[]
[]
[]
2509.23713
https://paperswithcode.co/api/v1/papers/arxiv/2509.23713?include_resources=true
200
true
86971
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
https://arxiv.org/abs/2509.23713
[ { "url": "https://github.com/ci3lab/text2mbl", "owner": "ci3lab", "name": "text2mbl", "stars": 4, "is_official": true, "source": "neurips2025_import" } ]
[]
[]
[]
[]
2510.25582
https://paperswithcode.co/api/v1/papers/arxiv/2510.25582?include_resources=true
404
false
null
null
null
null
null
null
null
null
2506.06970
https://paperswithcode.co/api/v1/papers/arxiv/2506.06970?include_resources=true
200
true
87222
Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
https://arxiv.org/abs/2506.06970
[]
[]
[]
[]
[]
2505.23495
https://paperswithcode.co/api/v1/papers/arxiv/2505.23495?include_resources=true
404
false
null
null
null
null
null
null
null
null
2506.01034
https://paperswithcode.co/api/v1/papers/arxiv/2506.01034?include_resources=true
200
true
72439
Less is More: Local Intrinsic Dimensions of Contextual Language Models
https://arxiv.org/abs/2506.01034
[ { "url": "https://github.com/aidos-lab/topo_llm_public", "owner": "aidos-lab", "name": "Topo_LLM_public", "stars": 0, "is_official": true, "source": "hf_api" } ]
[]
[]
[]
[]
2508.21800
https://paperswithcode.co/api/v1/papers/arxiv/2508.21800?include_resources=true
200
true
86967
Tree-guided Diffusion Planner
https://arxiv.org/abs/2508.21800
[]
[]
[]
[]
[]
2503.16199
https://paperswithcode.co/api/v1/papers/arxiv/2503.16199?include_resources=true
200
true
86045
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
https://arxiv.org/abs/2503.16199
[]
[]
[]
[]
[]
2509.18001
https://paperswithcode.co/api/v1/papers/arxiv/2509.18001?include_resources=true
404
false
null
null
null
null
null
null
null
null
2506.06991
https://paperswithcode.co/api/v1/papers/arxiv/2506.06991?include_resources=true
200
true
87061
Evaluating LLM-corrupted Crowdsourcing Data Without Ground Truth
https://arxiv.org/abs/2506.06991
[]
[]
[]
[]
[]
2505.15424
https://paperswithcode.co/api/v1/papers/arxiv/2505.15424?include_resources=true
200
true
85818
Gated Integration of Low-Rank Adaptation for Continual Learning of Language Models
https://arxiv.org/abs/2505.15424
[]
[]
[]
[]
[]
2509.01907
https://paperswithcode.co/api/v1/papers/arxiv/2509.01907?include_resources=true
200
true
68848
RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
https://arxiv.org/abs/2509.01907
[ { "url": "https://github.com/Bili-Sakura/RSCC", "owner": "Bili-Sakura", "name": "RSCC", "stars": 0, "is_official": true, "source": "hf_api" } ]
[]
[]
[]
[]
2509.07530
https://paperswithcode.co/api/v1/papers/arxiv/2509.07530?include_resources=true
200
true
68578
Universal Few-Shot Spatial Control for Diffusion Models
https://arxiv.org/abs/2509.07530
[ { "url": "https://github.com/kietngt00/ufc", "owner": "kietngt00", "name": "UFC", "stars": 0, "is_official": true, "source": "hf_api" } ]
[]
[]
[]
[]
2509.12227
https://paperswithcode.co/api/v1/papers/arxiv/2509.12227?include_resources=true
200
true
86508
Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
https://arxiv.org/abs/2509.12227
[]
[]
[]
[]
[]
2512.06854
https://paperswithcode.co/api/v1/papers/arxiv/2512.06854?include_resources=true
404
false
null
null
null
null
null
null
null
null
2502.07862
https://paperswithcode.co/api/v1/papers/arxiv/2502.07862?include_resources=true
200
true
87098
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
https://arxiv.org/abs/2502.07862
[]
[]
[]
[]
[]
2511.08991
https://paperswithcode.co/api/v1/papers/arxiv/2511.08991?include_resources=true
404
false
null
null
null
null
null
null
null
null
2506.07334
https://paperswithcode.co/api/v1/papers/arxiv/2506.07334?include_resources=true
200
true
72152
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
https://arxiv.org/abs/2506.07334
[]
[]
[]
[]
[]
2510.15455
https://paperswithcode.co/api/v1/papers/arxiv/2510.15455?include_resources=true
200
true
86003
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
https://arxiv.org/abs/2510.15455
[ { "url": "https://github.com/entropy-fighter/core", "owner": "entropy-fighter", "name": "core", "stars": 9, "is_official": true, "source": "neurips2025_import" } ]
[]
[]
[]
[]
2509.15594
https://paperswithcode.co/api/v1/papers/arxiv/2509.15594?include_resources=true
200
true
86582
Beyond the Average: Distributional Causal Inference under Imperfect Compliance
https://arxiv.org/abs/2509.15594
[]
[]
[]
[]
[]
2505.24205
https://paperswithcode.co/api/v1/papers/arxiv/2505.24205?include_resources=true
200
true
86580
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
https://arxiv.org/abs/2505.24205
[]
[]
[]
[]
[]
2511.20698
https://paperswithcode.co/api/v1/papers/arxiv/2511.20698?include_resources=true
404
false
null
null
null
null
null
null
null
null
2503.03401
https://paperswithcode.co/api/v1/papers/arxiv/2503.03401?include_resources=true
200
true
86421
Evolutionary Prediction Games
https://arxiv.org/abs/2503.03401
[]
[]
[]
[]
[]
2510.25387
https://paperswithcode.co/api/v1/papers/arxiv/2510.25387?include_resources=true
200
true
65684
Instance-Level Composed Image Retrieval
https://arxiv.org/abs/2510.25387
[ { "url": "https://github.com/billpsomas/icir", "owner": "billpsomas", "name": "icir", "stars": 0, "is_official": true, "source": "hf_api" } ]
[ { "url": "https://vrg.fel.cvut.cz/icir/", "is_official": true } ]
[]
[]
[]
2505.22246
https://paperswithcode.co/api/v1/papers/arxiv/2505.22246?include_resources=true
404
false
null
null
null
null
null
null
null
null
2512.18634
https://paperswithcode.co/api/v1/papers/arxiv/2512.18634?include_resources=true
404
false
null
null
null
null
null
null
null
null
2506.05587
https://paperswithcode.co/api/v1/papers/arxiv/2506.05587?include_resources=true
200
true
50676
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
https://arxiv.org/abs/2506.05587
[ { "url": "https://github.com/mmtu-benchmark/mmtu", "owner": "MMTU-Benchmark", "name": "MMTU", "stars": 14, "is_official": true, "source": "links_json" } ]
[]
[]
[]
[]
2506.05551
https://paperswithcode.co/api/v1/papers/arxiv/2506.05551?include_resources=true
200
true
50672
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
https://arxiv.org/abs/2506.05551
[ { "url": "https://github.com/shuyansy/mllm-semantic-hallucination", "owner": "shuyansy", "name": "MLLM-Semantic-Hallucination", "stars": 21, "is_official": true, "source": "ai_extraction" } ]
[]
[]
[]
[]
2505.13941
https://paperswithcode.co/api/v1/papers/arxiv/2505.13941?include_resources=true
200
true
86718
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
https://arxiv.org/abs/2505.13941
[]
[]
[]
[]
[]
2502.02216
https://paperswithcode.co/api/v1/papers/arxiv/2502.02216?include_resources=true
200
true
86458
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
https://arxiv.org/abs/2502.02216
[ { "url": "https://github.com/borgwardtlab/autograph", "owner": "borgwardtlab", "name": "autograph", "stars": 16, "is_official": true, "source": "neurips2025_import" } ]
[]
[]
[]
[]
2506.05331
https://paperswithcode.co/api/v1/papers/arxiv/2506.05331?include_resources=true
200
true
50651
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
https://arxiv.org/abs/2506.05331
[ { "url": "https://github.com/xinyan-cxy/mint-cot", "owner": "xinyan-cxy", "name": "MINT-CoT", "stars": 93, "is_official": true, "source": "links_json" } ]
[]
[]
[]
[]
2410.13903
https://paperswithcode.co/api/v1/papers/arxiv/2410.13903?include_resources=true
200
true
86481
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
https://arxiv.org/abs/2410.13903
[]
[]
[]
[]
[]
2507.11847
https://paperswithcode.co/api/v1/papers/arxiv/2507.11847?include_resources=true
200
true
86427
Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
https://arxiv.org/abs/2507.11847
[]
[]
[]
[]
[]
2406.02613
https://paperswithcode.co/api/v1/papers/arxiv/2406.02613?include_resources=true
200
true
86234
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
https://arxiv.org/abs/2406.02613
[]
[]
[]
[]
[]
2504.04827
https://paperswithcode.co/api/v1/papers/arxiv/2504.04827?include_resources=true
200
true
86796
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
https://arxiv.org/abs/2504.04827
[]
[]
[]
[]
[]
2512.00708
https://paperswithcode.co/api/v1/papers/arxiv/2512.00708?include_resources=true
404
false
null
null
null
null
null
null
null
null
2508.05926
https://paperswithcode.co/api/v1/papers/arxiv/2508.05926?include_resources=true
200
true
86544
Reverse Diffusion Sequential Monte Carlo Samplers
https://arxiv.org/abs/2508.05926
[]
[]
[]
[]
[]
2506.01162
https://paperswithcode.co/api/v1/papers/arxiv/2506.01162?include_resources=true
200
true
87149
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
https://arxiv.org/abs/2506.01162
[]
[]
[]
[]
[]
2510.00515
https://paperswithcode.co/api/v1/papers/arxiv/2510.00515?include_resources=true
200
true
53185
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
https://arxiv.org/abs/2510.00515
[ { "url": "https://github.com/zichenwen1/epic", "owner": "ZichenWen1", "name": "EPIC", "stars": 38, "is_official": true, "source": "hf_api" } ]
[ { "url": "https://zichenwen1.github.io/EPIC", "is_official": true } ]
[]
[]
[]
2504.15471
https://paperswithcode.co/api/v1/papers/arxiv/2504.15471?include_resources=true
200
true
73411
Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models
https://arxiv.org/abs/2504.15471
[]
[]
[]
[]
[]
2505.21749
https://paperswithcode.co/api/v1/papers/arxiv/2505.21749?include_resources=true
200
true
49974
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
https://arxiv.org/abs/2505.21749
[]
[]
[]
[]
[]
2511.15906
https://paperswithcode.co/api/v1/papers/arxiv/2511.15906?include_resources=true
200
true
54377
Unified all-atom molecule generation with neural fields
https://arxiv.org/abs/2511.15906
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[]
[]
[]
[]
2508.05954
https://paperswithcode.co/api/v1/papers/arxiv/2508.05954?include_resources=true
200
true
52276
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
https://arxiv.org/abs/2508.05954
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2503.17007
https://paperswithcode.co/api/v1/papers/arxiv/2503.17007?include_resources=true
200
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85704
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
https://arxiv.org/abs/2503.17007
[]
[]
[]
[]
[]
2505.24407
https://paperswithcode.co/api/v1/papers/arxiv/2505.24407?include_resources=true
200
true
85752
Efficient RAW Image Deblurring with Adaptive Frequency Modulation
https://arxiv.org/abs/2505.24407
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[]
[]
[]
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2502.16320
https://paperswithcode.co/api/v1/papers/arxiv/2502.16320?include_resources=true
200
true
85777
Direct Alignment with Heterogeneous Preferences
https://arxiv.org/abs/2502.16320
[]
[]
[]
[]
[]
2510.08748
https://paperswithcode.co/api/v1/papers/arxiv/2510.08748?include_resources=true
200
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86164
Conformal Risk Training: End-to-end optimization of conformal risk control
https://arxiv.org/abs/2510.08748
[]
[]
[]
[]
[]
2509.16950
https://paperswithcode.co/api/v1/papers/arxiv/2509.16950?include_resources=true
200
true
85830
Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving
https://arxiv.org/abs/2509.16950
[]
[]
[]
[]
[]
2402.03077
https://paperswithcode.co/api/v1/papers/arxiv/2402.03077?include_resources=true
200
true
87289
Markov Persuasion Processes: Learning to Persuade From Scratch
https://arxiv.org/abs/2402.03077
[]
[]
[]
[]
[]
2504.16275
https://paperswithcode.co/api/v1/papers/arxiv/2504.16275?include_resources=true
200
true
73387
Quantum Doubly Stochastic Transformers
https://arxiv.org/abs/2504.16275
[]
[]
[]
[]
[]
2507.00018
https://paperswithcode.co/api/v1/papers/arxiv/2507.00018?include_resources=true
200
true
71976
Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections
https://arxiv.org/abs/2507.00018
[]
[]
[]
[]
[]
2506.00911
https://paperswithcode.co/api/v1/papers/arxiv/2506.00911?include_resources=true
200
true
87388
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models
https://arxiv.org/abs/2506.00911
[]
[]
[]
[]
[]
2507.07580
https://paperswithcode.co/api/v1/papers/arxiv/2507.07580?include_resources=true
404
false
null
null
null
null
null
null
null
null
2506.09251
https://paperswithcode.co/api/v1/papers/arxiv/2506.09251?include_resources=true
200
true
86558
Extrapolation by Association: Length Generalization Transfer In Transformers
https://arxiv.org/abs/2506.09251
[]
[]
[]
[]
[]
2505.19076
https://paperswithcode.co/api/v1/papers/arxiv/2505.19076?include_resources=true
200
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72744
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
https://arxiv.org/abs/2505.19076
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[]
[]
[]
[]
2505.22647
https://paperswithcode.co/api/v1/papers/arxiv/2505.22647?include_resources=true
200
true
50025
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
https://arxiv.org/abs/2505.22647
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[]
[]
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2502.04670
https://paperswithcode.co/api/v1/papers/arxiv/2502.04670?include_resources=true
200
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74853
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
https://arxiv.org/abs/2502.04670
[]
[]
[]
[]
[]
2509.16204
https://paperswithcode.co/api/v1/papers/arxiv/2509.16204?include_resources=true
200
true
71548
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs
https://arxiv.org/abs/2509.16204
[]
[]
[]
[]
[]
2410.01779
https://paperswithcode.co/api/v1/papers/arxiv/2410.01779?include_resources=true
200
true
37689
Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets
https://arxiv.org/abs/2410.01779v3
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[]
[]
[]
[]
2510.09710
https://paperswithcode.co/api/v1/papers/arxiv/2510.09710?include_resources=true
404
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null
null
null
null
null
null
null
null
2505.12075
https://paperswithcode.co/api/v1/papers/arxiv/2505.12075?include_resources=true
200
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87380
Do different prompting methods yield a common task representation in language models?
https://arxiv.org/abs/2505.12075
[]
[]
[]
[]
[]
2511.00804
https://paperswithcode.co/api/v1/papers/arxiv/2511.00804?include_resources=true
200
true
65527
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
https://arxiv.org/abs/2511.00804
[]
[]
[]
[]
[]
2511.19914
https://paperswithcode.co/api/v1/papers/arxiv/2511.19914?include_resources=true
404
false
null
null
null
null
null
null
null
null
2412.03054
https://paperswithcode.co/api/v1/papers/arxiv/2412.03054?include_resources=true
200
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40946
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
https://arxiv.org/abs/2412.03054
[]
[]
[]
[]
[]
2410.21151
https://paperswithcode.co/api/v1/papers/arxiv/2410.21151?include_resources=true
200
true
86417
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces
https://arxiv.org/abs/2410.21151
[]
[]
[]
[]
[]
2506.16349
https://paperswithcode.co/api/v1/papers/arxiv/2506.16349?include_resources=true
200
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51292
Watermarking Autoregressive Image Generation
https://arxiv.org/abs/2506.16349
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[]
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[]
2511.22305
https://paperswithcode.co/api/v1/papers/arxiv/2511.22305?include_resources=true
404
false
null
null
null
null
null
null
null
null
2505.17982
https://paperswithcode.co/api/v1/papers/arxiv/2505.17982?include_resources=true
200
true
85979
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
https://arxiv.org/abs/2505.17982
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[]
[]
[]
[]
2412.17213
https://paperswithcode.co/api/v1/papers/arxiv/2412.17213?include_resources=true
200
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86316
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
https://arxiv.org/abs/2412.17213
[]
[]
[]
[]
[]