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pith:3GABHT2C

pith:2023:3GABHT2CFF5TYFMGM3UVNPT6U5
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Augmented Language Models: a Survey

Asli Celikyilmaz, Baptiste Rozi\`ere, Christoforos Nalmpantis, Edouard Grave, Gr\'egoire Mialon, Jane Dwivedi-Yu, Maria Lomeli, Ram Pasunuru, Roberta Raileanu, Roberto Dess\`i, Thomas Scialom, Timo Schick, Yann LeCun

Augmented language models combine reasoning and tool use to address traditional LM limits on interpretability, consistency, and scalability.

arxiv:2302.07842 v1 · 2023-02-15 · cs.CL

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

this new research direction has the potential to address common limitations of traditional LMs such as interpretability, consistency, and scalability issues.

C2weakest assumption

That the reviewed augmentations with reasoning and tools will demonstrably improve interpretability, consistency, and scalability in practice, as implied by the synthesis of existing works.

C3one line summary

Augmented language models combine reasoning and tool-calling abilities with standard language modeling to improve performance on complex tasks while retaining core capabilities.

Formal links

3 machine-checked theorem links

Cited by

32 papers in Pith

Receipt and verification
First computed 2026-05-17T23:38:49.339970Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d98013cf42297b3c158666e956be7ea74fcaeef5b6afb15b644c3746d5b2ae37

Aliases

arxiv: 2302.07842 · arxiv_version: 2302.07842v1 · doi: 10.48550/arxiv.2302.07842 · pith_short_12: 3GABHT2CFF5T · pith_short_16: 3GABHT2CFF5TYFMG · pith_short_8: 3GABHT2C
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GABHT2CFF5TYFMGM3UVNPT6U5 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d98013cf42297b3c158666e956be7ea74fcaeef5b6afb15b644c3746d5b2ae37
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2023-02-15T18:25:52Z",
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