Pith Number

pith:2CSB7O6I

pith:2025:2CSB7O6IWES22YSJUWKXDCPNJB

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From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations

Adam Jatowt, Pulkit Bansal, Raghvendra Kumar, Shakti Singh, Sriparna Saha

A curriculum-driven DPO framework generates reliable Hindi news veracity explanations by preferring fact-checked sources.

arxiv:2507.05179 v6 · 2025-07-07 · cs.CL

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

Experiments with LLMs (Mistral, Llama, Gemma) and PLMs (mBART, mT5) confirm the framework's effectiveness in generating coherent, contextually relevant explanations.

C2weakest assumption

That fact-checked explanations from credible sources can reliably serve as preferred responses while LLM outputs serve as non-preferred responses, and that adding the Actuality and Finesse parameters to the DPO loss will produce measurable improvements in explanation quality without introducing new biases or inconsistencies.

C3one line summary

A DPO framework augmented with curriculum learning and two new loss parameters generates veracity explanations for Hindi news using LLMs and PLMs.

Formal links

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Cited by

1 paper in Pith

BhashaSutra: A Task-Centric Unified Survey of Indian NLP Datasets, Corpora, and Resources

Receipt and verification

First computed	2026-06-02T01:04:14.825707Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d0a41fbbc8b125ad6249a5957189ed4860ee135f4fafd789158d3e51fa8e0cfa

Aliases

arxiv: 2507.05179 · arxiv_version: 2507.05179v6 · doi: 10.48550/arxiv.2507.05179 · pith_short_12: 2CSB7O6IWES2 · pith_short_16: 2CSB7O6IWES22YSJ · pith_short_8: 2CSB7O6I

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/2CSB7O6IWES22YSJUWKXDCPNJB \
  | 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: d0a41fbbc8b125ad6249a5957189ed4860ee135f4fafd789158d3e51fa8e0cfa

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "59d034c78160c82208f495a329f2f4e154783f7dd697c756e283b817d6eabdf2",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-07-07T16:34:28Z",
    "title_canon_sha256": "e8e211bb97abb76101deceae85f109d6b2239878e707477a9b6a5d2fb3352731"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2507.05179",
    "kind": "arxiv",
    "version": 6
  }
}