Home/Compare/ROLL vs LLM-Agent-Paper-List

Comparison

ROLL vs LLM-Agent-Paper-List

Verdict

Pick ROLL when tags unique to ROLL: rlhf, rlvr, agentic; pick LLM-Agent-Paper-List when tags unique to LLM-Agent-Paper-List: llm, nlp, survey, large-language-models.

Markdown twin · ROLL alternatives · LLM-Agent-Paper-List alternatives

GraphCanon updated today

ROLL logo

ROLL

alibaba/ROLL

3.3kpushed Jul 11, 2026
vs
LLM-Agent-Paper-List logo

LLM-Agent-Paper-List

WooooDyy/LLM-Agent-Paper-List

8.2kpushed Sep 12, 2025

Trust & integrity

SignalROLLLLM-Agent-Paper-List
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (302d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

ROLL
Efficient and user-friendly scaling library for RL with LLMs
LLM-Agent-Paper-List
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Stars

ROLL
3.3k
LLM-Agent-Paper-List
8.2k

Forks

ROLL
295
LLM-Agent-Paper-List
492

Open issues

ROLL
119
LLM-Agent-Paper-List
25

Language

ROLL
Python
LLM-Agent-Paper-List
-

Adopt for

ROLL
-
LLM-Agent-Paper-List
LLM-Agent-Paper-List is a meticulously curated collection focused on essential research papers related to AI agents built using Large Language Models, encompassing reinforcement learning frameworks and methodologies. It’

Persona

ROLL
-
LLM-Agent-Paper-List
-

Runtime

ROLL
-
LLM-Agent-Paper-List
-

License

ROLL
Apache-2.0
LLM-Agent-Paper-List
-

Last pushed

ROLL
Jul 11, 2026
LLM-Agent-Paper-List
Sep 12, 2025

Categories

ROLL
Model Training, Evaluation & Observability
LLM-Agent-Paper-List
Model Training, AI Agents, LLM Frameworks

Trust and health

Maintenance

ROLL
Very active (96%)
LLM-Agent-Paper-List
Slowing (36%)

Days since push

ROLL
0d
LLM-Agent-Paper-List
302d

Open issues (now)

ROLL
119
LLM-Agent-Paper-List
25

Owner type

ROLL
Organization
LLM-Agent-Paper-List
User

Full report

LLM-Agent-Paper-List
Trust report

Choose ROLL if…

  • Tags unique to ROLL: rlhf, rlvr, agentic.
  • Also covers Evaluation & Observability.
  • More recently updated (last pushed Jul 11, 2026).

When NOT to use ROLL

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Choose LLM-Agent-Paper-List if…

  • Tags unique to LLM-Agent-Paper-List: llm, nlp, survey, large-language-models.
  • Also covers AI Agents, LLM Frameworks.
  • Ideal for researchers and developers deeply interested in the theory and applications of LLM-based agents.

When NOT to use LLM-Agent-Paper-List

  • Not suitable if your focus is on traditional machine learning models without a language model foundation.
  • May not be as helpful if you are looking for resources outside the scope of large language model-based agents, such as purely statistical modeling techniques.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ROLL 3.3k · LLM-Agent-Paper-List 8.2k (synced Jul 11, 2026).

Common questions

What is the difference between ROLL and LLM-Agent-Paper-List?
ROLL: Efficient and user-friendly scaling library for RL with LLMs. LLM-Agent-Paper-List: The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.. See the comparison table for live GitHub stats and shared categories.
When should I choose ROLL over LLM-Agent-Paper-List?
Choose ROLL over LLM-Agent-Paper-List when Tags unique to ROLL: rlhf, rlvr, agentic; Also covers Evaluation & Observability; More recently updated (last pushed Jul 11, 2026).
When should I choose LLM-Agent-Paper-List over ROLL?
Choose LLM-Agent-Paper-List over ROLL when Tags unique to LLM-Agent-Paper-List: llm, nlp, survey, large-language-models; Also covers AI Agents, LLM Frameworks; Ideal for researchers and developers deeply interested in the theory and applications of LLM-based agents.
When should I avoid ROLL?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
When should I avoid LLM-Agent-Paper-List?
Not suitable if your focus is on traditional machine learning models without a language model foundation. May not be as helpful if you are looking for resources outside the scope of large language model-based agents, such as purely statistical modeling techniques.
Is ROLL or LLM-Agent-Paper-List more popular on GitHub?
LLM-Agent-Paper-List has more GitHub stars (8,159 vs 3,292). Stars measure visibility, not whether either tool fits your constraints.
Are ROLL and LLM-Agent-Paper-List open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to ROLL or LLM-Agent-Paper-List?
GraphCanon lists graph-backed alternatives at ROLL alternatives and LLM-Agent-Paper-List alternatives (ROLL markdown twin, LLM-Agent-Paper-List markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, ROLL or LLM-Agent-Paper-List?
ROLL: Very active. LLM-Agent-Paper-List: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for ROLL and LLM-Agent-Paper-List?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ROLL trust report; LLM-Agent-Paper-List trust report.