Predicting Emergent Capabilities by Finetuning | Paper Citation Record

Observation 34b427c7-d979-44dd-9e22-84af62f7b809 · outbound

This paper cites Many-Shot In-Context Learning.

Predicting Emergent Capabilities by Finetuning Many-Shot In-Context Learning

Reference 1

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Observation c7867831-24b2-4bcc-b60b-1bab32606976 · outbound

This paper cites Scaling laws for generative mixed-modal language models, 2023.

Predicting Emergent Capabilities by Finetuning Scaling laws for generative mixed-modal language models, 2023

Reference 2

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This paper cites Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, et al.

Predicting Emergent Capabilities by Finetuning Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, et al

Reference 3

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Observation 8bdcc17c-1756-49fd-b3e0-98dcec4f223b · outbound

This paper cites Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

Predicting Emergent Capabilities by Finetuning Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Reference 4

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Observation 2c1a7b28-08f5-4adb-9af4-79dac01906ae · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Predicting Emergent Capabilities by Finetuning Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 5

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Observation d775fd2b-0baa-48c2-86f0-40f2194cf5aa · outbound

This paper cites Program Synthesis with Large Language Models.

Predicting Emergent Capabilities by Finetuning Program Synthesis with Large Language Models

Reference 6

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Observation 9bdaeabc-85fb-496a-92b0-d2c47d0da5cc · outbound

This paper cites Emergent abilities and grokking: Fundamental, mirage, or both?, 2023.

Predicting Emergent Capabilities by Finetuning Emergent abilities and grokking: Fundamental, mirage, or both?, 2023

Reference 7

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Observation c769af3d-4170-451c-938c-962f99453c2f · outbound

This paper cites Managing extreme AI risks amid rapid progress.

Predicting Emergent Capabilities by Finetuning Managing extreme AI risks amid rapid progress

Reference 8

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Observation f125af7e-c2cb-4f1d-a55a-23303004c79e · outbound

This paper cites Does your data spark joy? Performance gains from domain upsampling at the end of training.

Predicting Emergent Capabilities by Finetuning Does your data spark joy? Performance gains from domain upsampling at the end of training

Reference 9

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Observation 108a6f13-21b5-4d0d-a389-5b93dca50e05 · outbound

This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Predicting Emergent Capabilities by Finetuning JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 10

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Observation 3246946a-4d6d-493d-a462-4de00aea052b · outbound

This paper cites Broken neural scaling laws, 2023.

Predicting Emergent Capabilities by Finetuning Broken neural scaling laws, 2023

Reference 11

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Observation a2deb85d-13fb-46ca-9493-253dedd131f1 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Predicting Emergent Capabilities by Finetuning Evaluating Large Language Models Trained on Code

Reference 12

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Observation bc6ab49d-c021-4f46-b672-4f904ddb03e4 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Predicting Emergent Capabilities by Finetuning Training Verifiers to Solve Math Word Problems

Reference 13

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Observation a0649c6c-a796-496e-ad53-cd3b02d4502e · outbound

This paper cites Redpajama-data: An open source recipe to reproduce llama training dataset, 2023.

Predicting Emergent Capabilities by Finetuning Redpajama-data: An open source recipe to reproduce llama training dataset, 2023

Reference 14

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Observation 3a57637b-bf38-4e30-8a05-0ea8283a7b73 · outbound

This paper cites Understanding Emergent Abilities of Language Models from the Loss Perspective.

Predicting Emergent Capabilities by Finetuning Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 15

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Observation 811e3b5e-fe73-40a7-a20b-28a7d7ca4a2f · outbound

This paper cites Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, and Ludwig Schmidt.

Predicting Emergent Capabilities by Finetuning Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, and Ludwig Schmidt

Reference 16

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Observation fe536083-937f-4ded-b8cc-a6848bdce38a · outbound

This paper cites Openllama: An open reproduction of llama, May 2023.

Predicting Emergent Capabilities by Finetuning Openllama: An open reproduction of llama, May 2023

Reference 17

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Observation d25f746d-457c-4b9c-8190-5f986b7df5df · outbound

This paper cites Scalax: scaling utilities for jax, 2024.

Predicting Emergent Capabilities by Finetuning Scalax: scaling utilities for jax, 2024

Reference 18

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Observation 8d26cf8f-c2fa-4613-9b34-3ef6a28cb268 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Predicting Emergent Capabilities by Finetuning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

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Observation 135e0a4b-9270-44ee-99d1-482505704b16 · outbound

This paper cites The False Promise of Imitating Proprietary LLMs.

Predicting Emergent Capabilities by Finetuning The False Promise of Imitating Proprietary LLMs

Reference 20

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Observation c8a7c8c4-cc0d-46b6-a9d1-17a1c4f0103d · outbound

This paper cites Measuring massive multitask language understanding, 2021.

Predicting Emergent Capabilities by Finetuning Measuring massive multitask language understanding, 2021

Reference 21

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Observation 6137db7a-3b60-49da-adca-7e36a34382d0 · outbound

This paper cites An Overview of Catastrophic AI Risks.

Predicting Emergent Capabilities by Finetuning An Overview of Catastrophic AI Risks

Reference 22

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Observation 02daedf1-52a2-420b-9b5a-1b4d56894c78 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

Predicting Emergent Capabilities by Finetuning Scaling Laws for Autoregressive Generative Modeling

Reference 23

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Observation 5f1bcd97-1a3b-41a9-bebd-9ada0aab95e0 · outbound

This paper cites Scaling Laws for Transfer.

Predicting Emergent Capabilities by Finetuning Scaling Laws for Transfer

Reference 24

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Observation 9a264839-d387-4dde-a2d1-29cef7ffbb1f · outbound

This paper cites The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo.

Predicting Emergent Capabilities by Finetuning The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo

Reference 25

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Observation ca2b7058-a325-4c7e-ba58-ed2d867ac350 · outbound

This paper cites Rae, Oriol Vinyals, and Laurent Sifre.

Predicting Emergent Capabilities by Finetuning Rae, Oriol Vinyals, and Laurent Sifre

Reference 26

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Observation 11019e95-ddbe-4a2b-be7a-53e65d49abc4 · outbound

This paper cites Predicting Emergent Abilities with Infinite Resolution Evaluation.

Predicting Emergent Capabilities by Finetuning Predicting Emergent Abilities with Infinite Resolution Evaluation

Reference 27

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Observation 97cb7e55-a901-4691-b164-15a24fb8b279 · outbound

This paper cites Compression Represents Intelligence Linearly.

Predicting Emergent Capabilities by Finetuning Compression Represents Intelligence Linearly

Reference 28

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Observation d3a9e5b6-40a4-4275-9dc4-eb1faa5db8eb · outbound

This paper cites Scaling laws for downstream task performance of large language models.

Predicting Emergent Capabilities by Finetuning Scaling laws for downstream task performance of large language models

Reference 29

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Observation ff26e04d-d338-4150-9cd5-8c0cc49b729f · outbound

This paper cites Scaling laws under the microscope: Predicting transformer performance from small scale experiments.

Predicting Emergent Capabilities by Finetuning Scaling laws under the microscope: Predicting transformer performance from small scale experiments

Reference 30

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Observation 787d0171-74af-4ad8-bf88-46834009ad46 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

Predicting Emergent Capabilities by Finetuning Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 31

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Observation e02d7550-b495-4f0e-a036-df8cf8ed6c5d · outbound

This paper cites Scaling laws for fine-grained mixture of experts, 2024.

Predicting Emergent Capabilities by Finetuning Scaling laws for fine-grained mixture of experts, 2024

Reference 32

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This paper cites Starcoder: may the source be with you! 2023.

Predicting Emergent Capabilities by Finetuning Starcoder: may the source be with you! 2023

Reference 33

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Observation b3e3d0a9-620f-4da1-8b29-dfa44169a67e · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Predicting Emergent Capabilities by Finetuning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 34

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Observation 43d13c81-2043-4e55-b0cc-ba2e7695e138 · outbound

This paper cites Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla.

Predicting Emergent Capabilities by Finetuning Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Reference 35

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This paper cites Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, and Colin Raffel.

Predicting Emergent Capabilities by Finetuning Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, and Colin Raffel

Reference 36

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This paper cites Scaling data-constrained language models.

Predicting Emergent Capabilities by Finetuning Scaling data-constrained language models

Reference 37

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Observation e55ee2b1-e87f-48a6-b362-71fde885c6b1 · outbound

This paper cites In-context learning and induction heads.

Predicting Emergent Capabilities by Finetuning In-context learning and induction heads

Reference 38

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Observation a092fa50-d1b0-4fe4-ab40-9565a7445e73 · outbound

This paper cites GPT-4 technical report, 2024.

Predicting Emergent Capabilities by Finetuning GPT-4 technical report, 2024

Reference 39

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Observation dd925cb2-8907-4699-9a2b-07d8148ed0e6 · outbound

This paper cites How predictable is language model benchmark performance?.

Predicting Emergent Capabilities by Finetuning How predictable is language model benchmark performance?

Reference 40

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Observation 6fc9b9d2-fcb2-4e02-b044-1ab668b818b7 · outbound

This paper cites Mark zuckerberg - llama 3, open sourcing \ 10b models, & caesar augustus.

Predicting Emergent Capabilities by Finetuning Mark zuckerberg - llama 3, open sourcing \ 10b models, & caesar augustus

Reference 41

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Observation 14a1ad2d-0468-4e7e-ac37-a4e5fb48090e · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Predicting Emergent Capabilities by Finetuning The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 42

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Observation 1fec5bf8-afbc-4148-af84-70f969e6c9cd · outbound

This paper cites Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro.

Predicting Emergent Capabilities by Finetuning Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Reference 43

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This paper cites Code Llama: Open Foundation Models for Code.

Predicting Emergent Capabilities by Finetuning Code Llama: Open Foundation Models for Code

Reference 44

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Observation fc45107e-6534-48a5-8971-9e534aa10c14 · outbound

This paper cites Observational Scaling Laws and the Predictability of Language Model Performance.

Predicting Emergent Capabilities by Finetuning Observational Scaling Laws and the Predictability of Language Model Performance

Reference 45

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Observation 347eaa26-8492-4410-a809-82833ba07777 · outbound

This paper cites Are emergent abilities of large language models a mirage?, 2023.

Predicting Emergent Capabilities by Finetuning Are emergent abilities of large language models a mirage?, 2023

Reference 46

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This paper cites Active learning literature survey.

Predicting Emergent Capabilities by Finetuning Active learning literature survey

Reference 47

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Observation a4db7fa9-1212-4148-b23a-0100283cd38f · outbound

This paper cites Model evaluation for extreme risks.

Predicting Emergent Capabilities by Finetuning Model evaluation for extreme risks

Reference 48

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This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge, 2019.

Predicting Emergent Capabilities by Finetuning Commonsenseqa: A question answering challenge targeting commonsense knowledge, 2019

Reference 49

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This paper cites Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?.

Predicting Emergent Capabilities by Finetuning Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 50

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This paper cites Improving Pretraining Data Using Perplexity Correlations.

Predicting Emergent Capabilities by Finetuning Improving Pretraining Data Using Perplexity Correlations

Reference 51

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Observation 6134ecc2-51c7-4883-96e0-f0c1ea965a15 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Predicting Emergent Capabilities by Finetuning LLaMA: Open and Efficient Foundation Language Models

Reference 52

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Observation 50e6794f-4292-4e81-8ba3-343c525eb762 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Predicting Emergent Capabilities by Finetuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

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This paper cites GLUE : A multi-task benchmark and analysis platform for natural language understanding.

Predicting Emergent Capabilities by Finetuning GLUE : A multi-task benchmark and analysis platform for natural language understanding

Reference 54

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This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Predicting Emergent Capabilities by Finetuning Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:46.879690Z

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Observation 2c0ca1ec-6bee-447c-a509-59d58bcbfce1 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Predicting Emergent Capabilities by Finetuning Chain-of-thought prompting elicits reasoning in large language models

Reference 56

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This paper cites Training Trajectories of Language Models Across Scales.

Predicting Emergent Capabilities by Finetuning Training Trajectories of Language Models Across Scales

Reference 57

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Observation a334f3ac-e991-46f1-bdb9-22b042e9d5f4 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Predicting Emergent Capabilities by Finetuning Star: Bootstrapping reasoning with reasoning

Reference 58

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Observation 91a1f6a0-b85b-4a5e-bb00-c14e5b359f87 · outbound

This paper cites write newline.

Predicting Emergent Capabilities by Finetuning write newline

Reference 59

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Observation 5c099122-094d-4bb7-9f17-b8ed8142b730 · outbound

This paper cites @esa (Ref.

Predicting Emergent Capabilities by Finetuning @esa (Ref

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:46.245295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 366a5b0c-29f0-4d1f-85b1-4f9cee70b275 · outbound

This paper cites an unresolved cited work.

Predicting Emergent Capabilities by Finetuning Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:46.250303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88904a78-79d2-4695-8f36-a0215bb91b16 · outbound

This paper cites an unresolved cited work.

Predicting Emergent Capabilities by Finetuning Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:41:46.815064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers