Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:50:12.562956Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 5 inbound Pith citation observations for arXiv:2502.04362.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:50:12.562956Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:21.440027Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T07:10:59.646665Z
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5321d1f0-b718-43c9-9449-a56be0d54f13 · outbound
LLMs can be easily Confused by Instructional Distractions LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0a17df6-9739-47f8-953e-42197bd1585e · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 2
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 26ee394d-b57d-4e9a-b395-e1fda05386b9 · outbound
LLMs can be easily Confused by Instructional Distractions Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53337b58-d4da-4265-88ed-f97900968c75 · outbound
LLMs can be easily Confused by Instructional Distractions Training Verifiers to Solve Math Word Problems
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25cb8e3c-9f4c-449b-947a-3b8c0b175f84 · outbound
LLMs can be easily Confused by Instructional Distractions The Llama 3 Herd of Models
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d67fa47e-ff45-4e3b-b306-ec4fde3508d8 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c99e0fc0-b269-4dfb-8fdc-3ad90aaca096 · outbound
LLMs can be easily Confused by Instructional Distractions Better Synthetic Data by Retrieving and Transforming Existing Datasets
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e3f493f-bbac-4a1a-b886-5270caff5ff1 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35b137cf-27a8-46c2-85bd-2a480c05b817 · outbound
LLMs can be easily Confused by Instructional Distractions Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd0b2215-6416-4356-bb7a-617c9dad8c06 · outbound
LLMs can be easily Confused by Instructional Distractions From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dea548c-bda4-4ad6-b387-c6f5739e7503 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 11
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 45df813b-c0e9-4aab-b41b-c912b4a64524 · outbound
LLMs can be easily Confused by Instructional Distractions AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9be3a9b4-087c-4600-bb9b-657530b21811 · outbound
LLMs can be easily Confused by Instructional Distractions Measuring Mathematical Problem Solving With the MATH Dataset
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96ef60d7-23ab-4c5a-bc0c-e3d7471451ca · outbound
LLMs can be easily Confused by Instructional Distractions MathPrompter: Mathematical Reasoning using Large Language Models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e7e4ece-aeed-4bc9-b68a-bcab20c887d0 · outbound
LLMs can be easily Confused by Instructional Distractions FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c292a6c2-8fca-49fd-a366-cf07777e7c82 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 16
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 e20b43e2-79db-4a46-999b-9bd2e248323f · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6acbb55f-3aed-4f68-b65f-083e46dd1ea8 · outbound
LLMs can be easily Confused by Instructional Distractions CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23467e4c-c6a1-4e63-9b70-591e9b7c4178 · outbound
LLMs can be easily Confused by Instructional Distractions G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23228c18-f2e8-4730-97fe-aa44f885fcff · outbound
LLMs can be easily Confused by Instructional Distractions On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f606a3f-8c4e-4cee-bd60-ef4542ce48fd · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 21
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 c9b9679b-81cb-40d7-b39c-807c79f16c39 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 22
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 49c57650-e222-4559-b54c-76a9af3a7af2 · outbound
LLMs can be easily Confused by Instructional Distractions Low-resource Languages: A Review of Past Work and Future Challenges
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d9ec9a3-1b96-476d-bce3-a2f09101e56f · outbound
LLMs can be easily Confused by Instructional Distractions Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98247ab9-9dc3-491a-893f-d011b5122c89 · outbound
LLMs can be easily Confused by Instructional Distractions Text Style Transfer: An Introductory Overview
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e410af63-401f-4f92-89ad-cfe90f7477b4 · outbound
LLMs can be easily Confused by Instructional Distractions INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97290847-eaec-4e04-92a7-a5dbb7b19dd2 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 27
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 57aead78-5cdd-49d3-b0f1-3e0896ad2ff3 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ad79c81-a93d-42c6-8123-06599fa87108 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97e21808-a72a-40bf-b88f-f1951b0c5288 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f34c3dc2-d511-43d5-a706-54f134dfdb8d · outbound
LLMs can be easily Confused by Instructional Distractions BBQ: A Hand-Built Bias Benchmark for Question Answering
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cdd079b-9d52-4a0f-8508-4a4a57a6cc9c · outbound
LLMs can be easily Confused by Instructional Distractions DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba37fdde-fd39-4356-9883-9df8ca32b1c8 · outbound
LLMs can be easily Confused by Instructional Distractions Instruction Tuning with GPT-4
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a2c937c-c775-4abb-b282-826e32733246 · outbound
LLMs can be easily Confused by Instructional Distractions InFoBench: Evaluating Instruction Following Ability in Large Language Models
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa6e48eb-8397-4e51-96a5-1595553b1159 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77444394-0211-44eb-8321-6dadf01f9942 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6acedd09-ccc2-4777-b5ba-1b998aa65e55 · outbound
LLMs can be easily Confused by Instructional Distractions How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d372e6dd-dd9e-4807-9ccd-bd5376678775 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 38
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 2957bce5-2342-4b0d-b755-bf63fd216b50 · outbound
LLMs can be easily Confused by Instructional Distractions Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13e491d9-92a3-4ebd-969c-7a9f3620a9ad · outbound
LLMs can be easily Confused by Instructional Distractions LLaMA: Open and Efficient Foundation Language Models
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 848ad83d-c3e8-4f52-bf38-e95bac97420a · outbound
LLMs can be easily Confused by Instructional Distractions Prompting PaLM for Translation: Assessing Strategies and Performance
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 667e977e-34f4-42bb-a62c-21c77a944afa · outbound
LLMs can be easily Confused by Instructional Distractions The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ce9f9e8-910d-4211-83fe-b707cfe50a7c · outbound
LLMs can be easily Confused by Instructional Distractions A Survey on Data Selection for LLM Instruction Tuning
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f504303c-518c-43e5-b2a5-4894e9068c27 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 44
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 d47b3262-8b02-40b8-9cf3-457e7d085124 · outbound
LLMs can be easily Confused by Instructional Distractions Self-Instruct: Aligning Language Models with Self-Generated Instructions
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b62c1cc-dda2-4c2d-b822-d4c87dd3408f · outbound
LLMs can be easily Confused by Instructional Distractions Aligning Large Language Models with Human: A Survey
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9c946fe-5772-4994-8eb3-d85cd64840c8 · outbound
LLMs can be easily Confused by Instructional Distractions Finetuned Language Models Are Zero-Shot Learners
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08ec788c-a908-4009-a300-bca8f640954a · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2918419-36fc-4c20-af8b-2a827dba5473 · outbound
LLMs can be easily Confused by Instructional Distractions Benchmarking Complex Instruction-Following with Multiple Constraints Composition
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed9d780e-a807-440b-8721-8974742cf017 · outbound
LLMs can be easily Confused by Instructional Distractions WizardLM: Empowering large pre-trained language models to follow complex instructions
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b98b7a4-afde-4f84-aa72-53bfc53aad1b · outbound
LLMs can be easily Confused by Instructional Distractions BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fe15baa-9cd0-4726-9e61-fd238fe6bb0d · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb0042af-2738-4b76-82b8-95fc8f111ea4 · outbound
LLMs can be easily Confused by Instructional Distractions BSTC: A Large-Scale Chinese-English Speech Translation Dataset
Reference 53
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 1f7ffbdd-96b7-432b-8e27-d7eab068c380 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f24a12e-5781-4dd8-a938-654d0e91da3c · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19c85f61-ecd1-42d9-8bfd-2faa54a7ee26 · outbound
LLMs can be easily Confused by Instructional Distractions Unresolved cited work
Reference 56
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62daec72-e239-4c11-87c8-0e6b666a3948 · outbound
LLMs can be easily Confused by Instructional Distractions Instruction-Following Evaluation for Large Language Models
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c72e40e8-2a75-44a3-a97b-b15e8a168ebe · outbound
LLMs can be easily Confused by Instructional Distractions URL: " 'urlintro :=
Reference 58
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7270e7cc-5d87-4ad3-899b-4d7613e27983 · outbound
LLMs can be easily Confused by Instructional Distractions write newline
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31957ffe-76cf-4433-a147-387c1e4d259b · inbound
Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets LLMs can be easily Confused by Instructional Distractions
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84259146-93c7-4e8b-bdc9-33d72c10d5b9 · inbound
How Many Instructions Can LLMs Follow at Once? LLMs can be easily Confused by Instructional Distractions
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b72f6d4b-c40e-48ce-a66f-36205a9b4458 · inbound
Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming LLMs can be easily Confused by Instructional Distractions
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdbced04-2017-41a1-b08a-759ee9589829 · inbound
Can You Trick the Grader? Adversarial Persuasion of LLM Judges LLMs can be easily Confused by Instructional Distractions
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60564746-0f7a-4ffd-a1d6-3221cd23fdda · inbound
TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation LLMs can be easily Confused by Instructional Distractions
Reference 38
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.