LESS: Selecting Influential Data for Targeted Instruction Tuning | Paper Citation Record

Observation cfa146e5-5021-43a3-8ee1-770efa704979 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:32:17.369856Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7052df9d-d093-454c-86e8-712b6a15f902 · inbound

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment cites this paper.

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 41

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Observation 91040c02-dd05-4c54-9924-57e20f97a625 · inbound

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning cites this paper.

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T15:58:03.299039Z

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Observation 60badec1-eec3-4c83-841d-ecd57ffc2dbc · inbound

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning cites this paper.

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:41.578831Z

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Observation b9b02ac0-e4d5-459e-b5fa-e9caeb710396 · inbound

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness cites this paper.

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T19:54:52.058857Z

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Observation 5a998296-4a9a-4b9f-9064-4db61e7354f1 · inbound

LLMCL-GEC: Advancing Grammatical Error Correction with LLM-Driven Curriculum Learning cites this paper.

LLMCL-GEC: Advancing Grammatical Error Correction with LLM-Driven Curriculum Learning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T14:02:43.932718Z

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Observation 506b9688-31f3-41b4-acab-8cf59a1f6c4c · inbound

How to Synthesize Text Data without Model Collapse? cites this paper.

How to Synthesize Text Data without Model Collapse? LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T12:05:48.554007Z

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Observation 6f5105b7-fb81-4494-bec3-1497ff23ea11 · inbound

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis cites this paper.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T11:59:28.468647Z

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Observation ee33c58c-b071-4cec-9b85-655741650ca0 · inbound

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response cites this paper.

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:51:02.962175Z

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Observation c249a302-567d-49ea-a5f7-c1bb3654e406 · inbound

Error-driven Data-efficient Large Multimodal Model Tuning cites this paper.

Error-driven Data-efficient Large Multimodal Model Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.618509Z

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Observation 84e65fbf-ae62-405c-87bc-d30ba4b33810 · inbound

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights cites this paper.

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:00.908041Z

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Observation 026e0e28-e136-4351-8f29-181c598f4b92 · inbound

Foundations of Large Language Models cites this paper.

Foundations of Large Language Models LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 269

Resolution: unresolved; no resolver link, observed 2026-08-10T20:14:59.398548Z

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Observation 233e79e0-c43a-4119-be56-18093fa30945 · inbound

Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities cites this paper.

Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T17:34:52.508784Z

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Observation 843288a1-07cf-45c3-a358-a839a71c8e79 · inbound

R.I.P.: Better Models by Survival of the Fittest Prompts cites this paper.

R.I.P.: Better Models by Survival of the Fittest Prompts LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.441499Z

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Observation 26a3a64c-2735-40c2-a3ad-a760e24418ad · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.691742Z

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Observation 45275c11-40ac-4f3e-8466-13e544982167 · inbound

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks cites this paper.

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:02:30.502624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11ccd4aa-1365-4999-b946-c001122c4f81 · inbound

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation cites this paper.

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T17:31:59.904624Z

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Observation bc7838af-4d9d-4ff1-ba19-5ec589007993 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 223

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.531239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c5560d7-8c6b-472b-ad48-2e96db58f920 · inbound

Data-efficient LLM Fine-tuning for Code Generation cites this paper.

Data-efficient LLM Fine-tuning for Code Generation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:51.783032Z

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Observation 81f2f5b7-1049-4dce-b663-bcf934e9c5e3 · inbound

DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning cites this paper.

DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:10.993352Z

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Observation 432ae583-2d6a-4763-9dc0-3ca9eee05459 · inbound

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training cites this paper.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.984118Z

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Observation c6de88d6-fa5e-4c34-9016-6309d0cb2f41 · inbound

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets cites this paper.

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T01:09:03.312234Z

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Observation 2fca783e-3bdc-445d-9915-86eaa1797c73 · inbound

RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection cites this paper.

RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T23:12:39.076022Z

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Observation 987fb47c-4b71-49fe-a94a-b6cade2d47d0 · inbound

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection cites this paper.

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:37:48.240990Z

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Observation 58a20d5e-0717-4bd0-adc8-4543c0628660 · inbound

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment cites this paper.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:32:06.112224Z

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Observation 44bd3a5a-7149-4c66-9ae8-22063bb3aeab · inbound

Merge to Mix: Mixing Datasets via Model Merging cites this paper.

Merge to Mix: Mixing Datasets via Model Merging LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:38.203646Z

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Observation 6c0c0df7-4c2c-461c-8c2f-c99bf41c04c8 · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 159

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:55.882570Z

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Observation 8fbc55e1-4d0d-4961-b324-4f89de4aa9fe · inbound

Efficient Data Selection at Scale via Influence Distillation cites this paper.

Efficient Data Selection at Scale via Influence Distillation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:17.393085Z

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Observation c9cb0f3c-ed17-41e1-a95f-d38187aef1da · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:13.859762Z

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Observation 3208fa00-3ea2-4407-a70c-a64010242d19 · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:30.108486Z

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Observation e0929f37-826d-4ac9-9b84-95733f5edd1e · inbound

Data Pruning by Information Maximization cites this paper.

Data Pruning by Information Maximization LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:45:03.259826Z

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Observation 1fd56d91-44f8-4727-9c8f-17c273d6c01f · inbound

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis cites this paper.

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:47.274238Z

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Observation c2e64d93-be90-45dc-b914-c03dbf45b9ce · inbound

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation cites this paper.

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:49.728829Z

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Observation 875d1ffe-848a-4f5a-ae4b-74fde5b61074 · inbound

Towards Efficient and Effective Alignment of Large Language Models cites this paper.

Towards Efficient and Effective Alignment of Large Language Models LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 191

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:43.112708Z

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Observation 86930eeb-2581-4feb-8996-c825a2b0a21e · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:03.711431Z

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Observation 6089f827-694c-45b9-b258-ef70f3d67c75 · inbound

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning cites this paper.

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T18:39:18.992970Z

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Observation fd07e8cb-16c9-47e2-aeb9-a5b319f6dc64 · inbound

Data Diversification Methods In Alignment Enhance Math Performance In LLMs cites this paper.

Data Diversification Methods In Alignment Enhance Math Performance In LLMs LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:28.792871Z

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Observation a4b53896-a980-4e21-bb80-20510d0c1b40 · inbound

Attributing Data for Sharpness-Aware Minimization cites this paper.

Attributing Data for Sharpness-Aware Minimization LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:10.809020Z

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Observation bea76b64-afea-4e70-826e-b5e3baf675e8 · inbound

Class-Proportional Coreset Selection for Difficulty-Separable Data cites this paper.

Class-Proportional Coreset Selection for Difficulty-Separable Data LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:25:16.024557Z

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Observation 39380165-d2f1-4710-8921-760b50e32e49 · inbound

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap cites this paper.

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.542379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2651289-819d-4323-8f74-b7faa459aef5 · inbound

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization cites this paper.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T20:00:05.206082Z

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Observation 17e8a213-d68d-4a21-b5bd-71b06b1fe91a · inbound

Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation cites this paper.

Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T17:24:08.165737Z

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Observation b10d7fa2-8da9-4dd2-bb51-0fc5e4b821df · inbound

Understanding Data Influence with Differential Approximation cites this paper.

Understanding Data Influence with Differential Approximation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T18:28:49.220498Z

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Observation a7660945-0e4b-49f6-b351-f168c06c3188 · inbound

Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models cites this paper.

Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:41:52.993698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9755a9f-9825-455a-8593-269958c0d50e · inbound

Influence-driven Curriculum Learning for Pre-training on Limited Data cites this paper.

Influence-driven Curriculum Learning for Pre-training on Limited Data LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T17:56:37.005434Z

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Observation 552ae6ce-9406-47c8-b42a-fade4dc9b29b · inbound

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains cites this paper.

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:40.537745Z

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Observation a3b348a0-105a-462f-b5a8-f6b9c5595c07 · inbound

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T11:16:14.978521Z

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Observation b3e846b1-8718-4172-9390-914fe4cd7430 · inbound

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning cites this paper.

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:57:46.857879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe16efd4-61ae-429c-9b36-2720b842818f · inbound

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning cites this paper.

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T21:05:26.433575Z

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Observation 87d181e7-8f54-4883-974c-dda1de54edeb · inbound

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models cites this paper.

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:16:04.614363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 685f7df8-22e0-422a-88e0-8836ddee743c · inbound

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts cites this paper.

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:58.957553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ccf6d8b0-fb66-49a8-b0c6-0057937bdbc6 · inbound

Selective Contrastive Learning For Gloss Free Sign Language Translation cites this paper.

Selective Contrastive Learning For Gloss Free Sign Language Translation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:31:10.152768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c9d08b1-8c79-44eb-b94f-c6155e29257f · inbound

Rigorous Interpretation Is a Form of Evaluation cites this paper.

Rigorous Interpretation Is a Form of Evaluation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:31:13.532088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0c16eca-6102-4996-a681-820d1221266b · inbound

Let the Target Select for Itself: Data Selection via Target-Aligned Paths cites this paper.

Let the Target Select for Itself: Data Selection via Target-Aligned Paths LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:17.987635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5d4e810-3b1f-4dd4-aefc-94145e55996d · inbound

Toward Communication-Efficient Space Data Centers: Bottlenecks, Architectures, and New Paradigms cites this paper.

Toward Communication-Efficient Space Data Centers: Bottlenecks, Architectures, and New Paradigms LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:52:52.481222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c15f55db-b6e3-465c-a7e3-d176f638882d · inbound

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning cites this paper.

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:07:54.541665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38050bd9-b388-4dfa-a9ab-b90a733208bb · inbound

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning cites this paper.

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:56.612576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fffa1b45-079a-4bab-a7b5-6f7eec05379c · inbound

Unified Data Selection for LLM Reasoning cites this paper.

Unified Data Selection for LLM Reasoning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T05:34:40.117198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22045372-c9d9-46be-8336-63469e73ee5b · inbound

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning cites this paper.

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:05.687911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81ebf038-a562-469c-92a9-ba547a2ec863 · inbound

Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection cites this paper.

Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:30.072550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b05c5d5a-316f-4ef5-af46-570b1d7322c6 · inbound

CODEBLOCK: Learning to Supervise Code at the Right Granularity cites this paper.

CODEBLOCK: Learning to Supervise Code at the Right Granularity LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:17:45.517082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72067d73-c7bb-4b23-a19e-e6d195fa543c · inbound

DRIFT: Refining Instruction Data via On-Policy Data Attribution cites this paper.

DRIFT: Refining Instruction Data via On-Policy Data Attribution LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:18:54.743967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42197a11-2828-4ea1-836a-5fc49503a4cc · inbound

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates cites this paper.

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:49:17.660072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b4ce2c7-c125-45c1-b9ff-5a310395af18 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:49:14.974070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d0dc1af-7531-4af3-bd5a-db33d86d8c9a · inbound

Data Selection Through Iterative Self-Filtering for Vision-Language Settings cites this paper.

Data Selection Through Iterative Self-Filtering for Vision-Language Settings LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 197

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:49:44.950900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5187601-fab7-4ef1-8fca-a6d3cd15ade9 · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:30:01.570899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ba4dd02-1047-4f55-a843-acde45ce4f63 · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:54:40.437339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45c43e9a-76f2-40d8-a7e7-3e39de747679 · inbound

On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity cites this paper.

On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 218

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:50:12.684409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation babf0a09-e7f6-4dea-828d-665ffdb55bc4 · inbound

When Does Generating More Help? Disentangling Fixed-Source Synthesis from Source Expansion in Synthetic Data Scaling cites this paper.

When Does Generating More Help? Disentangling Fixed-Source Synthesis from Source Expansion in Synthetic Data Scaling LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:28:33.802412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f1c2684-6d63-4df4-a498-b5b16a5118cb · inbound

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures cites this paper.

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.404908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65992ae1-e984-42f8-b12b-e0c037d7dcc9 · inbound

DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment cites this paper.

DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T00:17:36.191807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d50ac5-3475-4a71-a7fc-109dec7d815d · inbound

DataPrep-Bench: Benchmarking LLMs as Training Data Preparators cites this paper.

DataPrep-Bench: Benchmarking LLMs as Training Data Preparators LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T13:43:29.432403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2c8288b-7575-47fa-8bed-2d1642d7603f · inbound

DomainPilot: Domain-Level Loss-Guided Two-Stage Data Mixture Optimization for Efficient Language Model Fine-Tuning cites this paper.

DomainPilot: Domain-Level Loss-Guided Two-Stage Data Mixture Optimization for Efficient Language Model Fine-Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T06:19:33.174874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f2a815-325f-4514-b402-e323b95f7b8a · inbound

Less Data, Better Alignment: Data-Centric Multi-Evaluator Agreement for Preference Optimization cites this paper.

Less Data, Better Alignment: Data-Centric Multi-Evaluator Agreement for Preference Optimization LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T00:30:21.553602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be57078a-a0bc-4538-a878-545a405a753d · inbound

Bridging Compute- and Data-Optimal Pretraining cites this paper.

Bridging Compute- and Data-Optimal Pretraining LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-01T03:02:08.841217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02092546-02ad-403a-b3fe-a213b719dbbe · inbound

RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement cites this paper.

RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.235536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae92028b-9090-43f1-b779-6ca9cca80a4b · inbound

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training cites this paper.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:52:18.942456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc11e768-8335-42cf-b92d-6c6c9617c245 · inbound

SafeBuild-Bench: A Temporal-Robust Construction Safety Benchmark with Graph-Enhanced Data Mining cites this paper.

SafeBuild-Bench: A Temporal-Robust Construction Safety Benchmark with Graph-Enhanced Data Mining LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T01:29:18.422598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bffff43-b5e4-40cb-996b-9ea6ae5014aa · inbound

CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning cites this paper.

CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:49.959430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e714bce-1beb-405e-8ec6-dd1145f17663 · inbound

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure cites this paper.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:12.534998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers